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Remote Azure Databricks Jobs in Washington (NOW HIRING)

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$120K - $150K/yr

Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

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 ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

AI Assurance Engineer

Washington, DC · Remote

$141K - $236K/yr

... Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Data Scientist

Washington, DC · On-site +1

$141K - $236K/yr

... Databricks, or Azure Security Center). Preferred Qualifications: * Bachelor's degree in Data ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

... Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

... Databricks, or Azure Security Center). Preferred Qualifications: Bachelor's degree in ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... DataBricks, Azure) • Data quality and data lifecycle management • Enterprise platforms (e.g ...

Senior Data Engineer

Bethesda, MD · Remote

$118K - $139K/yr

Experience with Snowflake Snowpark, Azure Data Factory and Databricks Experience implementing and ... We're a nimble, remote-first team with a bold mission to redefine pharmacy benefits-and we're just ...

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Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

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.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

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.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

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 the most commonly searched types of Azure Databricks jobs in Washington? The most popular types of Azure Databricks jobs in Washington are:
What are popular job titles related to Remote Azure Databricks jobs in Washington? For Remote Azure Databricks jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Washington look for? The top searched job categories for Remote Azure Databricks jobs in Washington are:
What cities in Washington are hiring for Remote Azure Databricks jobs? Cities in Washington with the most Remote Azure Databricks job openings:
Lead Consultant, Data Engineer

Lead Consultant, Data Engineer

Lovelytics

Arlington, VA • On-site, Remote

$120K - $150K/yr

Full-time

Posted 22 days ago


Job description

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we\'ve delivered over $2B in business value for Fortune 500 clients.

In the last year, Lovelytics as grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks\' top partners.

This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few.  In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.

This role is open to remote candidates in the US. 
This role is not open for work sponsorship at this time.

Primary Responsibilities:

  • Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
  • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
  • Collaborate with other team members to successfully deliver on projects.
  • Work effectively and directly communicate with both internal and client and/or partner teams.
  • Develop full ownership of your execution on client engagements, you\'ll become involved in the project planning and solution stages of engagements as well.
  • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
  • Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead.
  • Contribute to real-time data processing solutions and managed streaming data.
  • Implement security and compliance measures for data pipelines.
  • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

Our Ideal Candidate\'s Skills and Experiences:

  • B.S. in Computer Science or equivalent
  • 3-5 years\' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **A must
  • Data modeling and database design skills and knowledge of version control
  • Excellent verbal and written communication skills
  • Is able to apply technical skills to engagement needs
  • Works with engagement leads and directors to gain exposure in the design and architecture of solutions
  • Understands and utilizes Lovelytics tools and client tools 

What We Promise You:

  • Exciting projects with great clients in varying departments and verticals across the world
  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

The base salary range for this position for candidates based in the US is $120,000-150,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.

Remote Roles$120,000—$150,000 USD

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.