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Aptonet

Databricks Data Engineer

Contract · Remote · USA

Posted Jun 10, 2026

Work Options
Cloud Stack
Industry
Positions
Job Type
Position Group
  • Software Engineering III – Databricks Data Engineer (Remote | U.S. Citizenship Required)
  • Remote – quarterly travel to Gaithersburg, MD
  • We are seeking a highly skilled Software Engineering III – Databricks Data Engineer to join our growing team and play a key role in building scalable, secure, and high-performing data solutions within an enterprise Microsoft Azure cloud environment.
  • This role is ideal for a hands-on Data Engineer with strong expertise in Databricks, Apache Spark, Azure data services, and modern data lake architecture. You will be responsible for designing, developing, and optimizing enterprise-grade data pipelines, supporting advanced analytics and AI-driven workflows, and collaborating with both technical and business stakeholders to deliver impactful data solutions.
  • If you enjoy solving complex data engineering challenges, working with large-scale datasets, and contributing to mission-critical cloud analytics platforms, this is a great opportunity to make a meaningful impact.
  • Key Responsibilitie
  • sDesign, develop, and optimize scalable data pipelines and analytics solutions using Databricks and Medallion Architectur
  • eBuild and maintain data ingestion pipelines for structured, streaming, and unstructured dat
  • aManage and support ingestion routines for multi-terabyte datasets across multiple Databricks workspace
  • sTranslate business and technical requirements into robust Azure-based data engineering solution
  • sIntegrate data from multiple enterprise sources to enable high-quality analytics, reporting, and insight
  • sMaintain and enhance ETL/ELT processes with a strong focus on data quality, reliability, and performanc
  • eMonitor platform health, troubleshoot production issues, and optimize Spark workloads, cluster performance, and platform stabilit
  • yImplement data management strategies to ensure data integrity, availability, accessibility, and governanc
  • eIdentify and drive cost optimization opportunities across data storage, compute, and analytics workload
  • sIntegrate and work with key Azure services, including
  • :Azure Function
  • sAzure Storage Service
  • sAzure Data Factor
  • yAzure Log Analytic
  • sAzure User Management / Access Control
  • sProvision and manage cloud infrastructure using Infrastructure-as-Code (IaC
  • )Apply best practices for data security, compliance, governance, and federal/Public Trust standard
  • sPartner with cross-functional stakeholders, including business users, architects, analysts, and engineering team
  • sSupport AI/ML and advanced analytics workflows by enabling reliable and scalable data foundation
  • sProvide client-facing support, technical consultation, and clear solution documentatio
  • nCreate and maintain architecture diagrams, interface diagrams, and technical documentatio
  • nMentor and review the work of junior technical team members as neede
  • d
  • Required Technical Skil
  • lsStrong hands-on experience with Databricks platform development, administration, and maintenan
  • ceExpertise in Apache Spa
  • rkProficiency in Python and Spark (R experience is a plu
  • s)Strong experience with Azure cloud services, includin
  • g:Azure Functio
  • nsAzure Storage Servic
  • esAzure Data Facto
  • ryAzure Log Analyti
  • csUser / Identity Manageme
  • ntExperience building data pipelines for structured, streaming, and unstructured da
  • taStrong understanding of ETL/ELT development, orchestration, and data quality manageme
  • ntDeep knowledge of Medallion Architecture and modern data lake / lakehouse design patter
  • nsExperience with Infrastructure-as-Code (Ia
  • C)Knowledge of data governance, includin
  • g:Metadata manageme
  • ntEnterprise data catal
  • ogData quali
  • tyData security / access contro
  • lsExperience with CI/CD automation for data engineering workflo
  • wsFamiliarity with Agile / Scrum methodologi
  • esExposure to cloud platforms such as Azure (required) and AWS (preferre
  • d)
  • Preferred / Nice-to-Have Ski
  • llsExperience with .NET developm
  • entAzure cloud certificati
  • onsUnderstanding of FinOps / cloud cost management princip
  • lesExposure to AI/ML platforms, advanced analytics, or modern AI technolog
  • ies
  • Qualifications & Experi
  • enceBachelor’s degree in Computer Science, Engineering, or related field with 3+ years of relevant experie
  • nc
  • e,ORMaster’s degree in a related field with 2+ years of relevant experi
  • enceDatabricks Data Engineer Certification strongly preferred / requ
  • ired2+ years of hands-on experience supporting and maintaining the Databricks platform and Spark-based develop
  • ment3+ years of experience designing and developing cloud-based data ingestion and processing pipel
  • inesProven experience working directly with clients / end users and providing front-line technical sup
  • portStrong ability to create and maintain technical architecture and interface documenta
  • tion
  • Work Authorization & Clearance Require
  • mentsU.S. Citizenship is req
  • uiredMust be eligible to obtain or currently hold a Public Trust clea
  • rance
  • Work Location /
  • TravelRemote po
  • sitionMust be comfortable with quarterly travel to Gaithersbu
  • rg, MDCandidates located in the Greater DC / Maryland / Virginia area are highly pre

ferred

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Databricks Data Engineer

Aptonet

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