Senior Data Engineer

Description

The company builds data pipelines and marketing automation for banks and credit unions, and is hiring a Senior Data Engineer to expand its data infrastructure and pipeline design as data flows into a Data Lake for analytics, reporting and AI applications.

You will work in agile teams with developers, analytics, reporting and data science staff, and business partners to keep data delivery consistent across ongoing projects. The role suits someone who works independently and can support several teams, systems and products.

The company is a performance partner for financial institutions, helping banks and credit unions grow, run more efficiently, engage customers and manage change through data, technology and people. It has 150 years of financial services experience.

Responsibilities

• Build scalable data pipelines and new integrations as data volume and complexity grow.
• Create a dependable Data Lakehouse for the marketing solutions business and financial institution clients, covering pre-sales, campaign execution, and campaign performance analysis and benchmarking.
• Work with AI, analytics and business teams to refine data models that feed AI and analytics tools, making data easier to reach and supporting better decisions.
• Set up processes and systems that monitor data quality and keep production data accurate and available to stakeholders and dependent business processes.
• Analyze data to find the causes of data problems and help resolve them.
• Support releases after deployment and respond quickly to unexpected production issues.
• Work with business and engineering teams to shape long-term data platform architecture.

Requirements

• Bachelor's degree in Computer Science, Information Technology or a related field, plus 5+ years of relevant experience; or
• Master's degree in Computer Science, Information Technology or a related field. Preferred
• 5+ years in data engineering, ETL development or data platform engineering.
• Background in a financial institution, banking, FinTech, MarTech, AdTech, marketing services or a marketing agency.
• Hands-on work with customer, campaign, audience, marketing performance, attribution, advertising or transactional data at scale.
• Strong Python and PySpark skills for production-grade data pipelines.
• Experience designing, building and supporting Data Lakehouse environments.
• Experience with Apache Airflow, Iceberg, Hive, S3 and Trino.
• Experience with AWS, Azure or GCP.
• Familiarity with agile software development.
• Experience with GitLab and CI/CD.
• Experience supporting AI and machine learning applications.
• Understanding of machine learning models and the data needs of data science teams. Preferred
• Experience building REST APIs. Preferred
• Strong programming in object-oriented or functional languages such as Python and PySpark, including testing, logging and data observability.
• Experience with distributed systems and parallel processing using Spark, PySpark, Hadoop, Kafka and Hive.
• Proficiency with relational databases.
• Strong knowledge of Linux and Unix systems.
• Strong experience with Iceberg, Hive, S3 and Trino.
• Experience building pipelines with Airflow orchestration.
• Hands-on experience with Apache Ranger and Rancher/Kubernetes.
• Strong analytical, conceptual and problem-solving skills.
• Clear communication that helps teams work together.
• Experience supporting data requirements for AI applications. Preferred
• Understanding of machine learning models and algorithms, and the ability to work with the Data Science team. Preferred

Conditions

Applications are accepted until the posted deadline of November 19, 2026, or until enough suitable candidates are found.

Final pay depends on factors such as skill level, cost of living, experience and responsibilities.

Benefits

• Medical, dental and vision coverage.
• 401K plan and a generous PTO allowance.
• Additional benefits include life insurance, employee assistance and pet insurance.