Data Engineer

United-States-Senate-Federal-Credit-Union; United States; Remote; USD 98,000 - 189,000; Full time

Benefits offered by this job

Health Insurance and Benefits package

401(k) Retirement Plan

Incentive bonus

Job summary

United States Senate Federal Credit Union is seeking an experienced Data Engineer to lead greenfield data projects, architecting financial systems from the ground up. You will work on data pipelines, data warehouses, and AI agent observability in a collaborative, innovative environment that encourages your ideas.

You will be part of a small, agile team shaping data-driven decisions across member data management and transaction processing.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3 years of data engineering experience with SQL, data modeling, ETL development, and data warehousing.
• Experience in cloud data architecture and engineering; coding in Python, Scala, Spark, or Java.

Responsibilities

• Design, build, and maintain ETL pipelines from diverse source systems.
• Develop, automate, and monitor scheduled data processing and reporting jobs using orchestration tools (Airflow, Dagster).
• Implement and manage SQL databases and data warehouse solutions; optimize performance.
• Create data models for reporting on member growth, loan performance, and operational metrics; document data lineage and business logic.
• Collaborate with Product/Engineering to integrate AI into products and run experiments; establish data governance and mentor juniors.

Skills

Python

SQL

Data modeling

ETL development

Data warehousing

Cloud data architecture

Leadership experience

Analytics

Education

Bachelor's degree in Computer Science/Engineering

Tools

Apache Airflow

Pentaho

Talend

SSIS

PostgreSQL

MySQL

SQL Server

OpenTelemetry

Langfuse

Job description

In the Senate Community tradition of service, we strive to improve the financial wellness of our members throughout all stages of life by integrating sustainability and security into every financial solution.

• Maintains our members’ and employees’ trust by safeguarding their financial data and information.
• Values and respects everyone’s abilities, opinions, and feedback to achieve trust, safety, and well-being in a friendly, welcoming, and cooperative environment. Actively devoted to our motto of 'better together'.
• Is honest, professional, authentic, and genuine in creating relationships that are uncompromising and true to ethical principles.
• Generates new ideas, supports change, provides new efficient solutions, and solves problems creatively while balancing risk.

General Summary

At United States Senate Federal Credit Union, we are offering a unique opportunity for an experienced Data Engineer to join our growing team. In this role, you will have the exciting chance to lead and shape greenfield projects, building from the ground up a variety of financial systems across different areas. This position is ideal for someone who thrives in an environment where they can innovate and implement their own ideas.

As part of a smaller, dynamic team, you will play a key role in architecting and constructing new systems and solutions. Your work will directly contribute to the development of our financial services, impacting everything from customer data management to transaction processing. This role offers a unique blend of technical challenge and creative freedom, perfect for a professional eager to leave their mark on the financial technology landscape.

Major Duties & Responsibilities

1. Data Pipeline Development and Automation

• Design, build, and maintain ETL pipelines from diverse source systems
• Develop, automate, and monitor scheduled jobs for data processing and reporting using orchestration tools (e.g., Apache Airflow, Dagster)

2. Database and Data Warehouse Management

• Implement and manage SQL databases.
• Develop and maintain data warehouse solutions.
• Familiarity with data warehouse architecture and ability to debug, optimize, and fine-tune warehouse performance

3. AI Agent Evaluation and Observability

• Build automated evaluation pipelines to assess agent outputs and behavior
• Develop observability solutions to monitor agent execution traces, tool calls, latency, token usage, costs, and failure rates across production workflows
• Partner with software engineers to establish evaluation standards, monitoring best practices, and scalable data infrastructure for production AI agent systems

4. Business Intelligence and Reporting

• Collaborate with leadership and department heads to understand analytical requirements
• Build data models that support reporting on member growth, loan performance, and operational metrics
• Create and maintain documentation for data lineage, definitions, and business logic
• Support ad-hoc analysis and data requests from various departments

5. Product Innovation and Team Collaboration

• Work with Product and Engineering teams to help implement AI into products to enhance user experience.
• Run A/B experiments to ensure shipment of successful features.
• Establish data governance around data assets to ensure consistent, high-quality data products that rely on data infrastructure.
• Mentor and guide junior team members.

7. Compliance & Security

• Ensure all data handling practices comply with financial industry regulations and privacy requirements
• Implement appropriate data security measures and access controls
• Maintain audit trails and data governance standards
• Support regulatory reporting requirements
• Performs other duties as assigned.

Experience and Skills

Education

Bachelor’s degree in Computer Science, Engineering, or related.

Experience

• Bachelor’s/Master’s in computer science, engineering, or related.
• 3 years of data engineering experience.
• Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
• Experience in cloud data architecture and engineering.
• Coding proficiency in at least one modern programming language (Python, Scala, Spark, Java, etc.).
• Communication and leadership experience, with experience initiating and driving projects.
• Experience leading data driven discussions and designing scalable data platforms.
• Knowledge of industry best practices and the ability to evaluate the applicability of new processes and technologies.
• Analytical and mathematical mind, capable of evaluating and solving various complex problems.

Skills

• Programming Languages: Python or similar programming language for data processing, SQ for database operations
• ETL Tools: Experience with tools like Apache Airflow, Pentaho, Talend, or SSIS
• Database Technologies: Strong SQL skills with experience in PostgreSQL, MySQL, or SQL Server
• AI Observability: hands‑on experience with Langfuse, OpenTelemetry , or similar tools
• Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud data services
• Data Warehouse Tools: Experience with Greenplum, Snowflake, Redshift, BigQuery, or similar platforms
• Business Intelligence: Knowledge of Tableau
• Version Control: Git for code management and collaboration

Communication: Must have superior interpersonal skills and be comfortable engaging with people from a wide variety of roles, cultures, and economic backgrounds.

Location: Remote opportunities in the following states ONLY: MD & DC ($104,253.52 - $156,380.28), VA, CT ($92,435.31 - $138,652.96); FL, NC, SC, TX, LA; Chicago, IL ($92,013.23 - $138,019.85); Somerville, MA ($98,344.62 - $189,473.43); New York, NY ($105,519.76 - $158,279.28) and Seattle, WA ($99,610.65 - $149,415.98).

Benefits: Health Insurance including Medical, Dental, Prescription, Vision, 401(k) Retirement Plan, Incentive bonus, 12 Holidays, 15 Vacation days, 9.75 Sick days, Flexible Spending Account, Life Insurance, Free parking or Metro Smart Benefits and Tuition reimbursement.

Time in Service: None Required

Equal Opportunity Employer/Veterans/Disabled

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.