- 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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