Data Engineer

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

ETL Pipeline Development and Maintenance:

• Design, build, and maintain ETL/ELT pipelines from a variety of source systems.
• Ensure data quality and consistency.

Scheduled Jobs, Automation, and Monitoring:

• Develop scheduled jobs for data processing and reporting.
• Automate tasks to improve system efficiency.
• Familiarity with modern orchestration tooling (Apache Airflow, Dagster, etc.)

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

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

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.

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: 4+ 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.

Practical experience or knowledge with Machine Learning/AI models is a plus.

Skills: Deep expertise with integrations and APIs.

Familiarity with financial services or credit union operations.

Developing data solutions in regulated environments.

Proven experience with open-source ML frameworks (TensorFlow, Pytorch, etc.) is a plus.

Prior DBA experience a strong plus.

Experience with Greenplum or similar systems is a plus.

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, VA, CT, FL, IL, LA, MA, NC, SC, TX, and Seattle, WA (Minimum $98,527.91 - Maximum $147,791.87)

Time in Service: None Required

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.

Equal Opportunity Employer/Veterans/Disabled

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.