Data Engineer

The Opportunity...
As a Senior Data Engineer, you ll build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms.

How You'll Contribute...

• Build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms.

• Design and implement scalable, reliable software data pipelines supporting business analytics.

• Serve as a subject matter expert (SME) for software data flows, pipelines, and reporting logic.

• Proactively identify data dependencies, risks, and optimization opportunities across software systems.

• Partner with analytics, BI (Business Intelligence), and business stakeholders to deliver trusted, performant data solutions.

• Provide technical guidance to peers and help raise overall software engineering standards across the team.

• Take ownership of projects from design through production, including documentation and knowledge transfer.

What We're Looking For...

• Master s degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field.

• Five (5) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation.

• Must have experience with the following:

• Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms;

• Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration;

• BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments;

• Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting;

• SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues;

• Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments;

• Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources;

• Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems;

• Data warehousing concepts, including dimensional modeling, performance optimization, and cost-aware design in cloud data platforms;

• Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (one of the following: AWS (Amazon Web Services), Google Cloud Platform (Google Cloud Platform), Azure), data frameworks (one of the following: Spark, Kafka), and programing languages (one of the following: Python, C#, SQL), while prioritizing effectively and balancing speed, quality, and long-term goals;

• Work independently while collaborating cross-functionally (engineering, analytics, product, and business), using tools such as Git, Jira, and BI platforms (one of the following: Tableau, Looker, Power BI), and proactively managing workstreams and contributing to team standards; and

• Communicating complex technical concepts to diverse audiences, translating data architecture into clear documentation and diagrams using tools including Miro Lucidchart, draw.io, Confluence, and Notion.