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Remote Databricks Data Engineer Jobs in Washington

Databricks Data Engineer Professional * Google Professional Data Engineer * Snowflake SnowPro Advanced Architect * TOGAF or cloud architecture frameworks * Local to Washington, DC metro area About ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Databricks Certified Apache Spark Developer.

Databricks Data Engineer Professional * Google Professional Data Engineer * Snowflake SnowPro Advanced Architect * TOGAF or cloud architecture frameworks * Local to Washington, DC metro area About ...

Databricks Data Engineer Professional * Google Professional Data Engineer * Snowflake SnowPro Advanced Architect * TOGAF or cloud architecture frameworks * Local to Washington, DC metro area ...

Data Engineer III

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer III Job number: 820 This is a remote position. Ad Hoc is a technology company that ... Databricks/Apache Spark Certification(s) 4. SAS experience To learn more about working at Ad Hoc ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Databricks Certified Data Engineer Associate. * Databricks Certified Data Engineer Professional.

Data Analytics Engineer

Washington, DC · Remote

$129K - $155K/yr

Remote / Pentagon Position Overview The Data Analytics Engineer is a hybrid role combining Data ... Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake * Implement ...

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Databricks Engineer (with Validation/Testing experience) Location: 100% remote (east coast hours ... Experience ingesting data from 10+ source systems into data lakes * Very strong with Databricks ...

Data Engineer - Senior

Herndon, VA · Remote

$140K - $180K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

Data Engineer - Senior

Hyattsville, MD · On-site +1

$140K - $180K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

Data Engineer - Senior

Hyattsville, MD · Remote

$140K - $180K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

Data Engineer - Senior

Herndon, VA · On-site +1

$140K - $180K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

Databricks Engineer

MD · On-site +1

... Data Science, Engineering, or a related field preferred. Master's degree is a plus. Databricks and Azure certifications strongly preferred. Notes: Remote 40 hours per week (no overtime) VIVA is an ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Washington? The most popular types of Databricks Data Engineer jobs in Washington are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Washington? For Remote Databricks Data Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Washington look for? The top searched job categories for Remote Databricks Data Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Databricks Data Engineer jobs? Cities in Washington with the most Remote Databricks Data Engineer job openings:

Lead Data Architect

Steampunk

Mclean, VA • On-site, Remote

Other

Posted 23 days ago


Job description

Overview
We are seeking a Principal Data Solution Architect / Lead Data Architect to serve as the senior-most technical authority for end-to-end data architectures, cloud data platforms, integration strategies, and enterprise-scale modernization initiatives. This role operates at the intersection of architecture, engineering, analytics, AI, and mission strategy. The Principal Data Solution Architect shapes the vision for how data is collected, governed, transformed, stored, accessed, and activated across complex environments-ultimately enabling reliable analytics, ML/AI capabilities, and mission-critical applications.
This leader drives architectural strategy across data platforms, lakehouses, warehouses, integration layers, and AI/ML pipelines, while guiding engineering teams toward scalable, secure, and maintainable solutions.
Contributions
  • Serve as the chief architect for data platform modernization, designing enterprise data ecosystems including lakehouse architectures, data mesh/fabric patterns, domain modeling, and multi-cloud data strategies.
  • Translate mission and business needs into actionable data architecture roadmaps, reference architectures, and solution blueprints.
  • Architect robust ingestion, transformation, and serving layers using a blend of batch, streaming, CDC, API-based, and event-driven patterns.
  • Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM architectures, metadata systems, and AI/ML-aligned feature modeling.
  • Partner with Data Engineering, Data Science, AI/ML Engineering, and LLMOps/MLOps teams to ensure data platforms support analytics, ML, RAG systems, and advanced automation use cases.
  • Define and enforce enterprise data standards: schema evolution, data contracts, quality frameworks, lineage expectations, observability, data zones, and Zero Trust data-access policies.
  • Drive platform engineering decisions including storage optimization, cluster sizing, compute orchestration, network design, and cost-performance tradeoffs.
  • Guide selection and adoption of platform technologies such as Databricks, Snowflake, Redshift, Synapse, BigQuery, lakehouse engines, metadata platforms, and orchestration tools.
  • Oversee architectural governance, including design reviews, performance evaluations, cloud readiness assessments, and alignment with enterprise cybersecurity and compliance requirements.
  • Serve as a senior advisor to client executives, framing modernization strategies, defining investment pathways, and articulating value realization for enterprise data initiatives.
  • Mentor Data Engineers, Data Architects, and cross-functional technical staff, strengthening architectural maturity across programs.
  • Develop reusable frameworks, architectural patterns, playbooks, and internal accelerators that improve consistency and reduce delivery time across engagements.
  • Stay current with emerging trends in cloud-native data ecosystems, metadata automation, distributed compute, AI-ready data architectures, and federal data regulations.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust or higher clearance as required.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Data Engineering, Information Systems, Cloud Architecture, or a related technical field.
  • 10+ years of professional experience designing enterprise-scale data solutions, with significant architectural leadership.
  • Expert-level knowledge of modern data architectures including lakehouse, data mesh, data fabric, MDM, event-driven architectures, and domain-driven design
  • Deep experience with cloud-native data ecosystems across AWS, Azure, or GCP-including storage, compute, orchestration, serverless, virtualization, containerization, and security services.
  • Mastery of distributed data processing frameworks (e.g., Spark, Databricks, Flink, Kafka, Synapse, Dataflow) and strong proficiency in SQL and Python.
  • Proven ability to design end-to-end ingestion pipelines, transformation logic, metadata systems, feature stores, and data serving layers optimized for analytics and AI workloads.
  • Understanding of enterprise data governance, including cataloging, lineage, privacy, tagging, Zero Trust access patterns, and compliance requirements.
  • Strong communication skills with the ability to influence senior stakeholders, justify architectural decisions, and translate complex concepts into actionable insights.
  • Demonstrated success mentoring technical staff, leading architecture reviews, and guiding multi-team delivery across complex modernization programs.
  • Experience collaborating with Data Science, AI/ML, and MLOps teams to ensure data architectures support scalable model development and operationalization.
  • Preferred certifications (highly relevant):
    • AWS Data Analytics Specialty
    • AWS Solutions Architect - Professional
    • Azure Solutions Architect Expert
    • Databricks Data Engineer Professional
    • Google Professional Data Engineer
    • Snowflake SnowPro Advanced Architect
    • TOGAF or cloud architecture frameworks
  • Local to Washington, DC metro area

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $165,000 to $210,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.