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Remote Databricks Developer Jobs in Connecticut (NOW HIRING)

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... ABOUT THE ROLE Role Description The AI & Digital Automation Solutions Developer will support ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...

Client Success Managers work closely with our client engineering teams (located in both the US and ... Experience with Databricks and cloud platforms, particularly Microsoft Azure * Prior exposure to ...

Data Analyst

Stamford, CT · On-site +1

Advanced Excel and PowerPoint, Intermediate SQL, Python/R, PowerBI, Databricks. Experience with AI ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Remote Databricks Developer information

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.

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 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.
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 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:

Mgr Data Engineering

Aequor

On-site, Remote

$115K - $138K/yr

Full-time

Posted 6 days ago


Job description

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT *** *** harnesses the best of biology and technology to fight the world's toughest diseases and make people's lives easier, fuller, and longer. We Client, develop, manufacture, and deliver innovative medicines to help millions of patients. *** helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description The AI & Digital Automation Solutions Developer will support ***'s Global Distribution organization by designing, developing, testing, and implementing practical AI, GenAI, custom GPT, automation, and data-enabled solutions that improve business processes, operational efficiency, decision-making, and data standardization. This is a hands-on technical role with strong business partnership responsibilities. The candidate will work directly with Global Distribution business stakeholders to understand operational challenges, identify opportunities for digital automation, and build scalable AI and digital solutions using tools such as custom GPTs, AI assistants, workflow automation platforms, low-code / no-code tools, scripts, APIs, data workflows, and reporting or analytics solutions. The ideal candidate is a business-facing technical developer who can move from problem discovery to solution design, prototyping, development, testing, deployment support, and adoption. This is not a pure data scientist role and not only a strategy role. The person should be able to build solutions, write or adapt code when needed, configure AI tools, develop automation workflows, support data standardization, and partner with technical teams to ensure solutions are secure, scalable, compliant, and sustainable.BASIC QUALIFICATIONS AND EXPERIENCE Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field OR Bachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field OR Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field. FUNCTIONAL SKILLS Must-Have Skills Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI-enabled solutions. Experience writing or adapting code, scripts, workflows, or automation logic to solve business problems. Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar development / automation tools. Experience with Microsoft Copilot Studio, Azure OpenAI, OpenAI GPTs, Power Apps, Power Automate, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, Confluence, or similar tools. Experience with retrieval-augmented generation, embeddings, semantic search, vector databases, document intelligence, or knowledge management solutions. Strong understanding of prompt engineering, AI solution design, workflow automation, data transformation, and user-centered solution development. Ability to translate business requirements into technical designs, prototypes, MVPs, and production-ready or scalable solutions. Experience working with structured and unstructured data, including data extraction, cleansing, mapping, validation, and transformation. Strong business analysis skills, including requirements gathering, process mapping, documentation, and stakeholder engagement. Ability to partner with business users and technical teams to design solutions that are practical, compliant, scalable, and easy to adopt. Experience testing, validating, troubleshooting, and enhancing digital or AI-enabled solutions. Strong documentation skills for technical designs, business rules, workflows, prompts, data logic, and support procedures. Strong communication skills with the ability to explain technical solutions to business users and business needs to technical teams. Good-to-Have Skills Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industry environments. Familiarity with software development practices, version control, GitHub, APIs, testing frameworks, CI/CD, or MLOps concepts. Experience developing automation for reporting, data reconciliation, exception management, workflow routing, document processing, or operational dashboards. Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks. Familiarity with supply chain processes such as order management, inventory visibility, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning. Experience with Agile, SAFe, product ownership, or digital product delivery models. Understanding of responsible AI, data privacy, cybersecurity, and compliance considerations for enterprise AI solutions. PROFESSIONAL CERTIFICATIONS Preferred but not required: AI, GenAI, or Prompt Engineering Certification Microsoft Power Platform Certification Azure AI / Azure OpenAI Certification Data Analytics Certification Automation or RPA Certification Agile / SAFe Certification Supply Chain Certification, such as APICS, CSCP, or CPIM Business Analysis Certification Cloud, Databricks, or Data Engineering Certification SOFT SKILLS Hands-on builder mindset with the ability to move quickly from idea to prototype to implementation. Strong problem-solving skills and comfort working with ambiguity. Ability to understand business pain points and design practical technical solutions. Strong collaboration skills across business, technology, data, and compliance teams. Ability to influence without authority and guide stakeholders toward scalable solutions. Strong communication and presentation skills for both technical and non-technical audiences. Strong attention to detail when working with data, automation logic, prompts, business rules, and documentation. Outcome-oriented mindset with focus on measurable business value, usability, and adoption. Ability to manage multiple priorities and deliver in a global, matrixed environment. EQUAL OPPORTUNITY STATEMENT *** is an Equal Opportunity employer and will consider applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Salary: . Date posted: 07/24/2026