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Remote Azure Databricks Jobs in Washington (NOW HIRING)

asrcfh

Senior Data Engineer - Lakehouse (Remote)

Reston, VA · On-site +1

$110.30K - $149.80K/yr

Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar ... Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or ...

asrcfh

Senior Data Engineer - Lakehouse (Remote)

Reston, VA · On-site +1

$110.30K - $149.80K/yr

Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar ... Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or ...

Sparibis

Power Apps Developer

Washington, DC · On-site +1

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Databricks. * Transform data sources into data tables within tools to include Powers Apps and ...

Tek Inspirations LLC

Senior Data Analyst

Washington, DC · Remote

$97.40K - $122.80K/yr

Washington, DC/Local Remote (candidates must be local to Washington, DC) Duration: 6+ months Need ... Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake. Knowledge of ...

A-TEK Inc.

Senior Data Engineer

Washington, DC · On-site +1

$120.10K - $163.10K/yr

This position is remote and requires the ability to obtain and retain a public-trust clearance ... Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms * Python ...

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Remote Azure Databricks information

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

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the most commonly searched types of Azure Databricks jobs in Washington? The most popular types of Azure Databricks jobs in Washington are:
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What cities in Washington are hiring for Remote Azure Databricks jobs? Cities in Washington with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you
Sr. Data Scientist with Security Clearance

Sr. Data Scientist with Security Clearance

Artech Information Systems

Washington, DC • Remote

$65 - $75/hr

Other

Posted 7 days ago

Job description

Title: Sr. Data Scientist Location: 100% Remote Clearance:Public Trust Duration: 06+ months Pay Rate - $65 - 75/Hr on W2 Client is seeking a Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.

Requirements • Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution • Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets • Build transparent, reproducible pipelines and analysis environments in cloud infrastructures • Produce crisp exhibits and memos that explain methods, limitations, and uncertainty • Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science • Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders • Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings • Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results • Mentor teammates on best practices • Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects Basic Qualifications: • Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5-8+ years of applied data science experience • Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL • Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) • Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data • Expertise with data visualization tools (e.g.

Tableau, Matplotlib) • Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents) • Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance • Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges • Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential • Familiarity with FISMA/NIST/Zero Trust security frameworks • Current Principal Data Scientist (PDS) Certification Preferred • Experience with Spark/Databricks.

• Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus. • Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions) • Contribution to open-source projects or participation in relevant data science communities.

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About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992

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