Engineer, Data

Posted 24 Days Ago
Washington, DC, USA
In-Office
Mid level
Other
Global provider of classification, technical, digital and sustainability services to #maritime and #offshore industries.
The Role
Designs, builds, optimizes, and maintains data pipelines, ETL/ELT workflows, data platforms, and data models. Supports high-volume data processing, cloud and hybrid modernization, data quality, metadata, lineage, governance, and analytics-ready datasets for federal mission and AI/ML applications. Collaborates with data scientists, architects, and analysts while producing technical documentation. The role may be filled across junior, mid-level, senior, or principal career levels.
Summary Generated by Built In

ABS Group is seeking a Data Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, build, and optimize data pipelines and data platforms that support secure, scalable collection, integration, and analysis of mission data. 

You will help enable high-volume data processing, support modern data architectures, and provide the technical foundation needed for advanced analytics, reporting, and AI/ML solutions. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.

 

What You Will Do:

    • Design, build, optimize, and maintain data pipelines and integration workflows 

    • Develop ETL and ELT processes to ingest, transform, validate, and load data from multiple sources 

    • Support modern data platforms including data lakes, lakehouses, warehouses, marts, and related architectures 

    • Help enable high-volume and high-velocity data processing for mission and operational needs 

    • Partner with data scientists, data architects, and analysts to support analytics-ready datasets and reusable data assets 

    • Implement data structures and data models aligned to business and technical requirements 

    • Support data quality, metadata, lineage, and governance objectives through strong engineering practices 

    • Contribute to cloud-based and hybrid data modernization efforts 

    • Produce technical documentation and delivery artifacts required for project execution 


What You Will Need:

Level and Compensation: This position may be filled at multiple career levels based on business need and the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:

Junior (0 to 4 years)

Mid-Level (5 to 9 years)

Senior (10 to 14 years)

Principal (15 or more years)

These ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.

Education and Experience

    • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field, or equivalent practical experience 

    • Relevant professional experience in data engineering, data integration, pipeline development, or related roles; the depth and scope of experience required will vary based on the level at which this position is filled 

    • Experience designing and supporting data processing workflows in professional environments preferred 

    • Experience working in cloud, hybrid, or enterprise data environments preferred 

    •  

Knowledge, Skills, and Abilities

    • Proficiency in Python and SQL 

    • Familiarity with ETL/ELT, data integration, and pipeline development 

    • Familiarity with data lakes, lakehouses, data warehouses, and modern data platform patterns 

    • Exposure to large-scale or high-throughput data processing environments a plus 

    • Working knowledge of schema design, data modeling, and database optimization 

    • Familiarity with orchestration and transformation tools used in modern data engineering environments 

    • Strong collaboration and documentation skills 

     

    Nice to Have 

    • Experience in a federal, public sector, statistical, or regulated data environment 

    • Familiarity with demographic, geographic, or survey-related datasets 

    • Exposure to graph-based data structures or knowledge graph use cases 

    • Experience with secure cloud data platforms 


Reporting Relationships:

The incumbent reports directly to the Chief Data Scientist in Global Technology or other management or executive level positions. May have individual contributor direct reports.

Location 

This position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval. 

Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.

 

About UsWe set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times.
ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.
About Our Benefits
ABS Group proudly offers a variety of industry-leading benefits designed to enhance the life and well-being of our employees and their families. These benefits include, but are not limited to, medical insurance (PPO and HD), dental and vision insurance, Health Savings account (HSA), Flexible Savings Account (FSA), life insurance, accidental death and dismemberment insurance, disability leave programs, parental leave program, paid holidays, and paid vacation time. The Company provides an Employee Assistance Plan (EAP) that offers additional support in personal wellness, including work-life services. ABS Group also offers a 401K plan with a generous company match, subject to plan requirements.
Equal Opportunity
The ABS Group of Companies is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.
Notice
ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.
Other
This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job. #ogjs

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field, or equivalent practical experience
  • Relevant professional experience in data engineering, data integration, pipeline development, or related roles
  • Proficiency in Python
  • Proficiency in SQL
  • Familiarity with ETL/ELT, data integration, and pipeline development
  • Familiarity with data lakes, lakehouses, data warehouses, and modern data platform patterns
  • Working knowledge of schema design, data modeling, and database optimization
  • Strong collaboration and documentation skills
  • Experience designing and supporting data processing workflows in professional environments
  • Experience working in cloud, hybrid, or enterprise data environments
  • Exposure to large-scale or high-throughput data processing environments
  • Familiarity with orchestration and transformation tools used in modern data engineering environments
  • Experience in a federal, public sector, statistical, or regulated data environment
  • Familiarity with demographic, geographic, or survey-related datasets
  • Exposure to graph-based data structures or knowledge graph use cases
  • Experience with secure cloud data platforms
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The Company
HQ: Spring, TX
4,900 Employees

What We Do

Since its founding in 1862, ABS has been committed to setting standards for safety and excellence as one of the world’s leading ship classification organizations. We search for and establish the best solutions for the industries we serve, and are at the forefront of marine and offshore innovation. In a constantly evolving industry, ABS works alongside its partners tackling the most pressing technical, operational and regulatory challenges so the marine and offshore industries can operate safely, securely and responsibly. The surveyors, engineers, researches and regulatory specialists who form the ABS team work in more than 200 offices in 70 countries around the world. With a passion for making the world a safer place, while also delivering practical and innovative solutions, ABS stands ready to assist and advance the marine and offshore industries.

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