Data Engineer

United States Senate Federal Credit Union; Virginia; Remote; USD 92,000 - 139,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Plan

Bonus

Paid holidays

Vacation days

Sick days

Tuition reimbursement

Free parking or Metro benefits

Job summary

United States Senate Federal Credit Union seeks an experienced Data Engineer to lead greenfield financial systems development. You’ll architect and build scalable data platforms for customer data management, transactions, and analytics in a dynamic, smaller team environment.

You’ll own data pipelines, warehouses, BI, and AI integration while collaborating across departments to deliver innovative financial solutions with strong governance and security.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related.
• 3 years of data engineering experience with SQL, ETL, and data warehousing.
• Experience in cloud data architecture and engineering.
• Proficient in Python, Scala, Spark, or Java for data processing.
• Strong communication and leadership experience driving projects.
• Ability to design scalable data platforms and discuss data governance.

Responsibilities

• Data Pipeline Development and Automation: design, build, and maintain ETL pipelines.
• Database and Data Warehouse Management: implement and manage SQL databases and data warehouses.
• AI Agent Evaluation and Observability: build evaluation pipelines and monitor agent performance.
• Business Intelligence and Reporting: model data for leadership and operational metrics.
• Product Innovation and Team Collaboration: work with product and engineering to integrate AI into products.
• Compliance & Security: ensure data handling meets regulations and implement security controls.

Skills

Python

SQL

Apache Airflow

Pentaho

Talend

SSIS

PostgreSQL

MySQL

SQL Server

Langfuse

OpenTelemetry

AWS

Azure

Google Cloud

Greenplum

Snowflake

Redshift

BigQuery

Tableau

Git

Data Modeling

Leadership

Education

Bachelor's degree

Master's degree

Tools

Apache Airflow

Pentaho

Talend

SSIS

Job description

Mission:

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.

Culture Competencies: S.T.R.I.V.E

• 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.

• Innovative Development: Spearhead the design and development of new financial systems, setting the standard for future projects.
• Creative Freedom: Enjoy the autonomy to propose and implement your vision for our data architecture and solutions.
• Cross-Functional Impact: Collaborate with various departments to understand their needs and translate them into effective data systems.
• Leadership Opportunity: Lead projects and guide a team towards achieving groundbreaking results in financial data management and analytics.

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

Non-essential Duties & Responsibilities

• 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.