Data Engineer

Description
You’re driven, resourceful, and above all else - remarkably smart.
You love a good challenge. You are the first to roll up your sleeves and work with relentless energy until you solve the unsolvable, beat the unbeatable and you always come out on top. Passable doesn’t cut it – you’ve got fire in your belly to learn more, do more and be more. For you, the sweetest success is shared success and you’re known for your good nature. You’ll fit right in at Syneos Health where we surround ourselves with the most talented and agile professionals in the industry, but we check our egos at the door.

Position Summary
The Data Engineer, Business Analytics is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and

business intelligence initiatives. This role partners closely with business stakeholders, analytics teams, and technology partners to ensure data is accurate, accessible, and

actionable. The ideal candidate combines strong technical expertise with business acumen to build reliable data pipelines, optimize data architecture, and enable data-driven

decision-making across the organization.

Key Responsibilities
Data Engineering & Architecture

• Design, develop, and maintain data pipelines, integrations, and workflows that support reporting and analytics needs.
• Build and optimize data models, data warehouses, and data marts to ensure efficient access to business-critical information.
• Integrate data from multiple internal and external sources while maintaining data quality, consistency, and governance standards.
• Monitor and troubleshoot data processes to ensure reliability, performance, and availability.

Data Management & Quality

• Develop and implement data validation, cleansing, and quality control processes to ensure the accuracy and integrity of reporting data.
• Establish and maintain data definitions, business rules, and documentation to support consistent reporting across the organization.
• Identify and resolve data discrepancies, root causes, and process gaps affecting business intelligence outputs.
• Support data governance initiatives by promoting best practices for data management, security, and compliance.

Business Intelligence & Analytics Support

• Partner with Business Analytics teams to deliver datasets, reporting solutions, and data structures that support strategic decision-making. Collaborate with stakeholders to understand business requirements and translate them into scalable technical solutions. Optimize data availability and performance for dashboards, reports, and self-service analytics tools. Support ad hoc data requests, analysis, and reporting initiatives as needed.

Continuous Improvement & Innovation

• Identify opportunities to automate manual processes and improve data engineering efficiencies.
• Evaluate and implement enhancements to data architecture, tools, and processes to support organizational growth.
• Stay current on emerging technologies, data engineering practices, and business intelligence trends.
• Contribute to the development of scalable and sustainable analytics infrastructure.

Required
Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field.
• 3+ years of experience in data engineering, data integration, business intelligence, or related disciplines.
• Strong proficiency in SQL and experience developing complex queries, stored procedures, and data transformations.
• Experience building and maintaining ETL/ELT processes and data pipelines.
• Knowledge of data modeling, database design, and data warehousing concepts.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to communicate technical concepts effectively to both technical and nontechnical audiences.

Preferred

• Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Experience with Power BI, Tableau, Snowflake, Databricks, or similar analytics technologies.
• Knowledge of Python, R, or other scripting languages used for data processing and automation.
• Experience supporting enterprise reporting and business analytics functions.

Core Competencies

• Data Engineering
• ETL/ELT Development
• SQL & Database Management
• Data Modeling Business Intelligence
• Data Governance
• Problem Solving
• Process Automation
• Collaboration
• Continuous Improvement

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Why Syneos Health?
We partner with industry experts to solve and execute against today’s toughest commercialization challenges facing the world’s leading healthcare companies. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities on our Commercial Operations and Leadership teams. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients’ lives around the world.

Work Here Matters Everywhere | How are you inspired to change lives?

Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)

EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a
Data Engineer - Senior
to join our Tax Technology practice.

Key Responsibilities

• Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, coding with C# inside SSIS packages, stored procedures, views, triggers, cursors, UDFs and running / maintaining ETL Pipeline processes.
• Strong knowledge in data modeling.
• Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, SSIS packages, and SQL queries
• Experience on Azure data platform offerings.
• Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
• Defines data solutions for business problems by working directly with project managers, seniors and clients
• Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Qualification & Experience Required

• Strong verbal and written communications skills
• Ability to work as an individual contributor
• 3- 5 years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, ETL experience working with SSIS.
• Must have strong experience with SSIS and any other ETL tools (Alteryx is desirable).
• Appling coding inside SSIS packages (C#).
• Azure SQL Database and Azure SQL Datawarehouse concepts.
• Azure Data Factory
• Azure Cloud experience / certification is preferred.
• QA skills would be a plus

WHY DEPT®?
We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:
We are looking for a Senior Analytics Engineer to join our team and help shape the future of our data strategy. In this role, you will transform raw data into high-quality, self-serve data artifacts, applying a quantitative framework to solve complex business problems. You are someone who bridges the gap between raw engineering and business insights, ensuring our data ecosystem is scalable, trustworthy, and actionable.

Our ideal candidate is excited about data modeling, applied statistics, and building the foundation for a truly data-driven organization. At DEPT® Data & Engineering, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU'LL BRING:

• Design and build flexible, trustworthy data models using dbt and SQL. You will transform data from multiple sources into reusable, business-friendly datasets.
• Work directly with Product, Marketing, Sales, and Finance to define requirements, realign expectations when scope changes, and deliver technical solutions to business needs.
• Lead discovery on data tools and infrastructure. Participate in the technical design of schemas and pipelines, ensuring best practices for project architecture and QA.
• Build and maintain semantic layers and documentation to enable self-service analytics, helping data consumers find the right datasets to answer questions quickly.
• Proactively identify design flaws in data models and implement fixes. Manage the end-to-end ecosystem, including ETL/ELT, data governance, and performance optimization.
• Research solutions independently and the intuition to know when to ask for help versus when to innovate.
• Translate complex business questions into technical specs and present findings to non-technical stakeholders.
• Participate in system design and offering sound guidance on data risks and dependencies.

WHAT WE ARE LOOKING FOR:

• 4+ years of applied analytics/data engineering experience, preferably within a fast-paced tech company or consulting environment.
• Expert-level SQL: Ability to write, troubleshoot, and optimize complex scripts for performance and cost.

• dbt (Data Build Tool): Proven experience using dbt to manage the transformation layer of the modern data stack.
• Data Modeling: Strong expertise in industry concepts (Star Schema, Snowflake Schema) and building semantic layers.

• Cloud Warehousing: Familiarity with cloud platforms (GCP, AWS, Azure) and warehouses (Snowflake, BigQuery, or Redshift).
• BI & Visualization: Proficiency in defining data models and measures in tools like Looker or Tableau.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU
DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION
At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Who We Are

At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us.

The Role

Apptegy is building the data platform that powers decision-making across a high-growth SaaS business. As our Staff Data Engineer, you will design, build, and evolve the systems that move, transform, and serve data across the company — with Snowflake at the core of the platform.

 

This is a high-impact, high-autonomy individual contributor role reporting directly to the VP of Data & Analytics. You will operate as the most senior hands-on engineer on the team, shipping foundational pipelines and platform primitives, setting the engineering standards a small, high-performing team builds against, and raising the bar for reliability, performance, and cost of everything the data platform delivers.

 

The right person for this role brings deep Snowflake expertise, strong systems judgment, and a track record of shipping production data infrastructure at scale. They are equally comfortable making pragmatic build-versus-buy calls, writing production dbt or Coalesce transformations, tuning Snowflake warehouses, and mentoring senior engineers through design reviews. This person will also help build the platform capabilities that make our data AI-ready — enriched, well-modeled, and reliable enough to support LLM, RAG, and agent-based use cases across the business.

What You'll DoPlatform & Pipeline Engineering

• Design, build, and own high-impact data pipelines and platform primitives across ingestion, storage, transformation, and consumption, with Snowflake as the core platform.
• Build and evolve the medallion architecture across Bronze, Silver, Gold, and Semantic layers, implementing the standards for schema design, object naming, access patterns, and layer boundaries in production.
• Ship the semantic models that represent key business entities, metrics, and KPIs in Snowflake and expose them cleanly to BI tools.
• Lead engineering execution across the modern data stack, including ingestion through Fivetran, transformation through Coalesce and related tooling, and BI delivery through Tableau, ensuring cohesion across the full platform.
• Identify and resolve performance, scalability, and cost issues in Snowflake — query optimization, clustering strategy, warehouse sizing, and storage management — and codify the patterns so the rest of the team can apply them.
• Build the platform capabilities that make data AI-ready, including metadata enrichment, contextual retrieval patterns, and curated data products that support LLM, RAG, and AI agent use cases.

Reliability, Governance & Data Quality

• Implement and enforce data governance in production, including naming conventions, data contracts, PII handling, access controls, lineage, and documentation.
• Build the data observability practice end to end — freshness monitoring, anomaly detection, pipeline reliability, SLA tracking, and incident response.
• Partner with security and other stakeholders to ensure the platform meets compliance, risk, and regulatory requirements.
• Maintain the technical documentation, data flow diagrams, decision records, and data dictionary that keep the platform legible and durable as the team scales.

Technical Leadership

• Act as the senior engineering voice on the data team — driving design reviews, resolving technical ambiguity, and setting the standards other engineers build against.
• Evaluate new tools and platforms and lead build-versus-buy decisions with clear trade-off analysis and strong technical rationale.
• Partner with the VP of Data & Analytics on roadmap execution, prioritization, and platform partnerships across Snowflake, Tableau, Fivetran, and related vendors.
• Mentor Data Engineers and Analytics Engineers through pairing, code review, and hands-on support on the hardest implementation work.
• Communicate technical direction clearly to engineering leaders, business stakeholders, and executive partners.

Cross-Functional Partnership

• Collaborate with stakeholders across the company to understand evolving data requirements and turn them into scalable, well-modeled, maintainable pipelines and data products.
• Partner with the broader engineering organization to define data contracts at system boundaries and build durable product data integration patterns.
• Work closely with BI and analytics consumers, including analysts and Tableau users, to ship data products that enable self-service, consistency, and reduced ad hoc friction.
• Collaborate with Data Scientists and AI/ML Engineers to deliver well-contextualized, AI-ready data as a platform capability, not as bespoke prep work.

What You'll BringRequired

• 8+ years of experience in data engineering, analytics engineering, or platform engineering roles, with a track record of shipping production data infrastructure at Staff or Principal level.
• Expert-level Snowflake proficiency, including schema design, performance tuning, virtual warehouse management, RBAC, data sharing, and cost governance.
• Deep hands-on experience with modern data transformation practices, including strong design principles and production experience with Coalesce (or equivalent, e.g. dbt, with the ability to lead our Coalesce implementation).
• Strong data modeling fundamentals — dimensional modeling, normalization, entity-relationship design, and semantic layer concepts — applied in production.
• Demonstrated experience building and operating a medallion or layered architecture at scale across multiple business domains.
• Production experience with data governance — access controls, PII classification, lineage, documentation, and data contracts.
• Experience building or operating a data observability practice, including freshness monitoring, anomaly detection, SLA definition, and incident response.
• Expert-level SQL across analytical workloads, with the ability to review, optimize, and improve complex query patterns and mentor others on the same.
• Excellent communication skills, including the ability to write clear technical designs and decision records and present direction to non-technical leadership.
• Working understanding of enterprise AI application patterns, including RAG pipelines, vector search, and agent frameworks, and how the data platform layer supports these use cases with properly contextualized, enriched data.
• Familiarity with how AI and ML workflows consume and depend on data platform capabilities — semantic context, retrieval patterns, and governed access to reliable enterprise data.

What Makes You Stand Out

• Experience building and operating both inbound and outbound connectors along with the observability patterns needed to keep data moving reliably across systems.
• Hands-on experience with Tableau as a BI consumption layer, including how Tableau interacts with data sources and which implementation choices affect performance, usability, and long-term maintainability.
• Experience in a SaaS business environment, ideally with exposure to GTM, finance, or product analytics data domains.
• Familiarity with Snowflake-native AI capabilities such as Cortex or related platform features that support contextual retrieval and AI-enabled data experiences.
• Exposure to unstructured data handling, embedding-based retrieval patterns, or related approaches that intersect with modern enterprise data platform work.
• Prior experience leading tooling evaluations or vendor selection processes for data platforms, BI, or pipeline tooling.

Why Apptegy

Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact.

 US Employee Benefits: 

Comprehensive medical, dental, vision, and life insurance coverage

Retirement 401(k) with employer match

Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs)

Mental Health Reimbursement

Unlimited paid time off, including seasonal (December) company-wide time off

Paid parental and medical leave

 MX Employee Benefits:Private medical insurance for you and your dependents

Life insurance

15 days Aguinaldo

Vales de Despensa

Fondo de Ahorro

Caja de Ahorro

Flexible paid time off policy

Paid travel to/from Little Rock, Arkansas for Onboarding. 

Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise.

 

Equal Opportunity Employer

Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.