Data Engineer

accelintjobboardtest

Saint Paul (MN)

Hybrid

USD 80,000 - 100,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Paid Time Off

401k Matching

Medical, Dental & Vision Insurance

Optional HSA and FSA

Employee Assistance Program

Job summary

accelintjobboardtest is seeking a Data Engineer in Saint Paul, Minnesota. This full-time role involves technical leadership in data engineering, modeling, and systems analysis. Candidates should possess 2 to 5 years of experience with orchestration and data processing tools, particularly Apache Airflow and Apache Spark.

The position supports various Navy and DoD programs and offers a hybrid work arrangement to foster collaborative environments. Benefits include medical insurance, paid time off, and 401k matching.

Qualifications

2 to 5 years of experience in data engineering.
Must possess an active U.S. national security clearance.

Responsibilities

Collaborate with cross-functional teams to align project goals.
Design and implement data solutions for software development.
Develop scalable data pipeline architectures.
Ensure data quality and integrity within software products.
Conduct unit, integration, and system testing.

Skills

Proficient with Orchestration tools (Apache Airflow)

Data processing tools (Apache Spark)

Advanced knowledge of object storage and management of unstructured data

Experience utilizing cross-domain solutions

Knowledge of containerization technologies

Knowledge of ETL processes and data warehousing

Advanced level knowledge of Agile methodologies

Conversant with object-oriented programming languages

Excellent written and oral communication

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Relevant internship experience

Tools

Kubernetes

Docker

Apache Airflow

Apache Spark

PostgreSQL

Job description

Note: This position is contingent upon contract award.

Job Description

Data Engineer
Full Time
Onsite/Hybrid Preferred

Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation (M&S), and systems analysis. This position is responsible for managing the technical execution of technical data modeling efforts in direct support of Navy and Department of Defense (DoD) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 2 to 5 years of experience using Orchestration tools (Apache Airflow) and data processing tools (Apache Spark) with a demonstrated ability to collaborate with cross-functional teams.

Duties & Responsibilities

Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals.
Contribute technical expertise in data engineering to design and implement data solutions that support software development initiatives.
Participate in planning sessions to develop data pipeline architecture that align with project requirements.
Design data ingestion, transformation, and storage workflows that are scalable and meet software performance requirements.
Implement data quality checks and validation procedures to ensure data accuracy and integrity within software products.
Conduct comprehensive testing, including unit, integration, and system testing ensuring application quality and functionality stay in specifications.
Debug and resolve complex software defects and issues.
Document data engineering processes, pipeline configurations, and data flows to ensure consistency and future support.
Ensure accuracy and completeness of all documentation.
Foster effective collaboration with cross-functional teams to achieve project objectives.
Communicate complex technical information clearly and effectively.
Utilize advanced software development tools and methodologies to support project requirements.
Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.
Manage projects, including planning, execution, and delivery.
Coordinate with cross-functional teams to ensure project objectives are met on time and within budget.
Performs other duties as assigned.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field required; advanced degree, relevant internship experience, or equivalent hands‑on industry experience may be considered in lieu of traditional qualifications.
Proficient with Orchestration tools (Apache Airflow) and data processing tools (Apache Spark)
Advanced knowledge of object storage and management of unstructured data
Experience utilizing cross-domain solutions in a secure environment
Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.)
Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing
Advanced level knowledge of software development processes including Agile methodologies.
Conversant with object-oriented programming languages
Excellent written and oral communication.
Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Preferred Qualifications

Current CompTIA Security + Certification
Experience with Typescript/Express and FastAPI frameworks
Experience with PostgreSQL
Experience with a modern JavaScript framework (Angular, React, etc.)
Experience with software development frameworks and libraries.
In-depth understanding of the aerospace and defense industry.
Knowledge of DoD software development policies and requirements

Physical Requirements

Prolonged periods sitting at a desk and working on a computer.
Must be able tolift upto 15 pounds at times.
This position is hybrid located in St. Paul, MN.
Fully remote candidates may be considered with increased expectation for travel.
This position may require the ability to travel up to 5%.

Work Environment

Hybrid work arrangements are strongly preferred for this role to support regular in‑person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1–2 times per month to customer sites, subcontractor locations, and other company offices.

Clearance Requirements

Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL).In order toqualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.

Pay Scales & Benefits

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.

Benefits include…