Data Scientist at Chenega Corporation

** Telework, however must reside in the Washington D.C. area for requisite onsite work. **

Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for a Data Scientist to join our team of IT experts at the Federal Housing Finance Agency's (FHFA) Office of the Chief Information Officer (OCIO). As a member of our data science team, you will play a key role in designing, building, and maintaining scalable and efficient data pipelines to support business requirements and analytics. You will collaborate with data architects, software engineers, and IT teams to integrate data solutions with applications and services.

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.

Responsibilities

• Design, Build, and Maintain Data Pipelines: Design, build, and maintain scalable and efficient data pipelines to ingest, process, and store data from various sources.
• Develop ETL Processes: Develop ETL (Extract, Transform, Load) processes to ensure data is properly cleaned, transformed, and integrated for analysis.
• Collaborate with Data Architects: Collaborate with data architects to design and implement data models and schemas that support business requirements and analytics.
• Optimize Database Performance: Manage and optimize databases, including relational (SQL) and non-relational (NoSQL) databases, to ensure high availability, performance, and reliability.
• Implement Data Quality Checks: Implement data quality checks and validation processes to ensure the accuracy and integrity of data.
• Integrate Data from Various Sources: Integrate data from various internal and external sources, including APIs, third-party services, and legacy systems.
• Monitor Data Pipeline Performance: Monitor data pipeline performance and address issues related to data ingestion, processing, and storage.
• Implement Data Security Measures: Implement data security measures to protect sensitive and critical data from unauthorized access and breaches.
• Maintain Comprehensive Documentation: Maintain comprehensive documentation of data pipelines, workflows, data models, and processes.
• Prepare Reports: Prepare and present reports on data engineering projects, performance metrics, and improvements to management and stakeholders.
• Evaluate Data Engineering Tools: Evaluate and recommend data engineering tools, technologies, and platforms to support the organization’s data strategy.
• Stay Informed about Emerging Trends: Stay informed about emerging trends and technologies in data engineering and incorporate relevant innovations.

Qualifications

• Master's Degree in Computer Science, Data Science, or related field, or equivalent experience as a senior IT professional.
• Experience with data pipelines, ETL processes, and database management, including relational (SQL) and non-relational (NoSQL) databases.
• Familiarity with cloud-based data engineering tools and their integration with on-premises infrastructure.
• Knowledge of data governance best practices to manage data standards, policies, and compliance requirements.
• Ability to work in a fast-paced environment, prioritize tasks effectively, and maintain detailed documentation of data-related activities.
• Possess excellent communication skills, be able to work collaboratively with other teams, and stay current with advancements in data science and engineering technologies.

Knowledge, Skills and Abilities:

• Agility in adapting to changing priorities: The ability to update/pivot from a given plan in order to refocus resources elsewhere as needed.
• Collaborative mindset: Experience working collaboratively with cross-functional teams, including software engineers, IT professionals, and stakeholders.
• Strong analytical skills: Excellent problem-solving skills, with the ability to analyze complex data engineering issues and develop effective solutions.
• Demonstrated ability to work independently and execute on a day to day basis, while employing a hands on approach.

Final salary determination based on skill-set, qualifications, and approved funding.

Many of our jobs come with great benefits – Some offerings are dependent upon the role, work schedule, or location, and may include the following:

Paid Time Off

  PTO / Vacation – 5.67 hours accrued per pay period / 136 hours accrued annually 

  Paid Holidays - 11

  California residents receive an additional 24 hours of sick leave a year

Health & Wellness

  Medical

  Dental

  Vision

  Prescription

  Employee Assistance Program

  Short- & Long-Term Disability

  Life and AD&D Insurance

Spending Account

  Flexible Spending Account

  Health Savings Account

  Health Reimbursement Account

  Dependent Care Spending Account

  Commuter Benefits

Retirement

401k / 401a

Voluntary Benefits

  Hospital Indemnity

  Critical Illness

  Accident Insurance

  Pet Insurance

  Legal Insurance

  ID Theft Protection

Teleworking Permitted?

Yes

Teleworking Details

Hybrid, must reside in the Washington D.C. area

Estimated Salary/Wage

USD $119,000.00/Yr. Up to USD $155,000.00/Yr.

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Our wide range of benefit options is designed to support and protect employees and their families. Based on eligibility, benefits include medical, dental, vision, prescription plans, wellness programs, income protection, paid leave, and retirement. Positions covered by the McNamara-O'Hara Service Contract Act, Davis-Bacon Act, or a Collective Bargaining Agreement (CBA) will comply with the statute or CBA requirements.

Chenega Corporation and family of companies is an EOE.

Equal Opportunity Employer/Veterans/Disabled

Native preference under PL 93-638.

We participate in the E-Verify Employment Verification Program