DMS MRO Data Engineer

Bering Straits Native Corporation; Dayton (OH); Hybrid; USD 125,000 - 150,000; Full time

Job summary

Arcticom, LLC is seeking a DMS MRO Data Engineer to develop and optimize ETL pipelines in a hybrid Dayton, OH environment. You will build scalable data models, leverage Databricks, Spark, and Python for data cleansing, and enable cross-system data exchanges via APIs.

The role requires strong SQL and Spark skills, plus experience with AWS S3 and SharePoint; DoD or government-space knowledge is preferred. Collaboration with SMEs and DoD stakeholders is essential.

Qualifications

• Bachelor's degree in computer science, engineering, or related field (US accreditation) required.
• Python, SQL, Spark, AWS, S3, Databricks experience preferred; DoD/DoD-friendly domains valued.
• Experience with SharePoint development and Jira for project tracking is preferred.

Responsibilities

• Build and optimize ETL data pipelines using Databricks and Apache Spark.
• Develop scalable data models using Spark DataFrames and Spark SQL.
• Use Python for data cleansing, text parsing, and pattern matching.
• Integrate data via APIs and manage AWS S3 data stores.
• Collaborate with SMEs and cross-functional teams to implement data transformations.

Skills

Python

SQL

SharePoint Development

Spark

AWS

S3

AI

Databricks

Education

Bachelor's degree (US accredited)

Tools

Jira

Microsoft Graph API

SharePoint

Job description

About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services.

About this position: DMS MRO Data Engineer Location - Dayton, OH

Wage/Salary Range: $125k - $150K

Applicants will be notified via phone or email within ten (10) business days of submittal.

Essential Duties & Responsibilities

• Build and optimize ETL data pipelines using Databricks and Apache Spark
• Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
• Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream ingestion
• Use APIs for seamless data exchange and automation across systems
• Manage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API
• Leverage Microsoft 365 tools for documentation and collaboration
• Develop and maintain Amazon Web Services (AWS) including S3
• Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
• Use Jira to track and manage issues, tasks, and project workflows
• Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
• Leverage Subject Matter Expert (SME) collaboration to interpret business rules and build business logic into data extracts and transformation processes
• Build and maintain strong working relationships with SME's, helping to identify requirements for data transformations based upon iterative product feedback

Required (Minimum Necessary) Qualifications

• Education Requirements: Bachelor's (US accredited Required)
• Level of Experience Requirements: Python: 4 years (Preferred), SQL: 4 years (Preferred), SharePoint Development: 3 years (Preferred), Spark: 3 years (Preferred), AWS: 3 years (Preferred), S3: 3 years (Preferred), AI: 2 years (Preferred), Databricks: 2 years (Required)
• License/Certification: S. federal government security clearance (Preferred), AWS Certified Solutions Architect (Preferred), Databricks Certified Data Engineer Professional (Preferred)

Work Location

Hybrid remote in Wright-Patterson AFB, OH 45433

Knowledge, Skills, Abilities, and Other Characteristics Requirements

Must be a U.S. Citizen Must be able to obtain and maintain a favorable National Agency Check with Inquiries (NACI) clearance Must reside within 50 miles of the customer site in Dayton, OH Must have experience working with the Department of Defense (DoD) or another federal agency

Qualifications Bachelor's degree in computer science, engineering, or a related field from an accredited United States university Technical skills, hands‑on experience, and proficiency with: Databricks, Apache Spark, and cloud‑based data engineering and modelling SQL for querying and managing relational data AWS cloud services, including S3 Python for data analysis, cleansing, and visualization SharePoint lists, document libraries, and Microsoft Graph Microsoft 365 apps and integration workflows Developing and consuming APIs for data exchange between different systems Jira or other agile workflow management systems for issue and project tracking Artificial Intelligence (AI) proficiency to incorporate into daily activities and workflows

Relationship Management and Teamwork

Proven ability to build trust and maintain strong partnerships with customers and stakeholders Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings Ability to work collaboratively with a diverse team of contractors and government personnel Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations Skilled in building strong customer relationships and engaging with SMEs to derive business logic for data transformation methods and rules

Preferred

• Certifications such as AWS Certified Solutions Architect or Databricks Certified Data Engineer AI aware
• Familiarity with Air Force-specific systems or DoD compliance frameworks
• Live within 50 commutable miles of Dayton, OH

Supervisory Responsibilities

This position will not have supervisory responsibilities.

DOT Covered/Safety-Sensitive Role Requirements

This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions.

Necessary Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.

Work Environment

The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Additional Qualifying Factors

As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.

Shareholder Preference

BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.

Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.