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Remote Databricks Developer Jobs in Connecticut (NOW HIRING)

Simplex

Solutions Architect- Databricks

Hartford, CT · Remote

$63.50 - $83.75/hr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Simplex

Solutions Architect- Databricks

Hartford, CT · Remote

$63.50 - $83.75/hr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Simplex

Solutions Architect- Databricks

Hartford, CT · Remote

$170K - $200K/yr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Simplex

Solutions Architect- Databricks

Hartford, CT · On-site +1

$170K - $200K/yr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

FAVARH

Senior Data Product Owner

Hartford, CT · On-site +1

You will partner closely with business leaders, engineers, architects, and data professionals to ... Remote or hybrid work arrangement in accordance with Voya's flexible workplace guidelines. The ...

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Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

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

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What are the most commonly searched types of Databricks Developer jobs in Connecticut?

The most popular types of Databricks Developer jobs in Connecticut are:

What are popular job titles related to Remote Databricks Developer jobs in Connecticut?

For Remote Databricks Developer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Developer jobs in Connecticut look for?

The top searched job categories for Remote Databricks Developer jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Databricks Developer jobs?

Cities in Connecticut with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you

Solutions Architect- Databricks

Hartford, CT • Remote

Simplex
See more jobs at Simplexexternal

$63.50 - $83.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Our client is a fast-growing data analytics and AI startup. This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you will be working with a major Defense company based in Connecticut.  

We seek a dynamic and detail-oriented Solutions Architect to join the team and play a crucial role in helping clients successfully deploy and integrate our enterprise software solutions. As a Solutions Architect, you will lead customer workshops, work with enterprise data platforms, and learn semantic technologies.

You will work closely with clients to understand their unique business needs, provide expert guidance, and ensure a smooth and seamless solution. You will be responsible for configuring and customizing the software, conducting training sessions, troubleshooting issues, and collaborating with cross-functional teams to deliver exceptional service and ensure client satisfaction. This role is ideal for individuals who thrive in a client-facing environment and enjoy problem-solving while delivering impactful results in a fast-paced, collaborative setting. 

Responsibilities include:

  • Client Relationship Management: Build and maintain strong, long-lasting client relationships, ensuring ongoing satisfaction and identifying opportunities for upsell or additional services. 
  • Deploy and configure the products within enterprise customer environments.
  • Build semantic models, ontologies, and enterprise knowledge graphs.
  • Design and implement integrations with Databricks and enterprise data platforms.
  • Work closely with customer teams to understand business requirements and translate them into technical solutions.
  • Support AI use cases including RAG, GraphRAG, AI Agents, and enterprise search.
  • Deliver technical workshops and knowledge transfer sessions.
  • Troubleshoot and resolve complex technical issues.
  • Collaborate with Product and Engineering to influence the future direction of the Kobai platform.
  • Become the trusted technical advisor for strategic enterprise customers.  

Required Experience

  • 5+ years' experience in Solution Architecture, Data Engineering, AI Engineering or Technical Consulting.
  • Strong experience with Databricks.
  • Strong Python and SQL skills.
  • Experience with Apache Spark and Delta Lake.
  • Experience integrating enterprise applications and data platforms.
  • Excellent communication and customer-facing skills.
  • Ability to lead technical discussions with senior architects and engineering teams. 

Desirable Experience

  • Knowledge Graphs.
  • Semantic Technologies (RDF, OWL, SPARQL).
  • Enterprise Ontologies.
  • MCP (Model Context Protocol).
  • LLMs and Agentic AI.
  • GraphRAG / Retrieval-Augmented Generation.
  • Azure or AWS.
  • Snowflake.
  • Manufacturing, industrial, or other regulated industries. 


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