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Remote Databricks Data Engineer Jobs in New Haven, CT

Owl Cyber Defense

Principal FPGA Engineer

Danbury, CT · On-site +1

$141K - $173K/yr

Remote (for those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

FuelCell Energy

Staff Electrical Engineer

Danbury, CT · On-site +1

$130K - $160K/yr

Remote (U.S); On-site in Danbury, CT preferred. Overview We are seeking a hands-on Lead Electrical ... Experience with hydrogen, electrolysis, fuel cells, data centers, temporary microgrids, modular ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... data at a large scale. This engineer will work closely with other software engineers, product ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... data at a large scale. This engineer will work closely with other software engineers, product ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in New Haven, CT

Remote Databricks Data Engineer information

See New Haven, CT salary details

$44.8K

$130.5K

$178.5K

How much do remote databricks data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote databricks data engineer in New Haven, CT is $130,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

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.
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    Remote Databricks Data Engineer jobs near you
    Infographic showing various Remote Databricks Data Engineer job openings in New Haven, CT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,452 per year, or $62.7 per hour.

    Data Engineer Lead- PMS & QA

    CooperCompanies

    Trumbull, CT • On-site, Remote

    Full-time

    Re-posted 14 days ago

    Job description

    About CooperSurgical

    CooperSurgical is a leading fertility and women’s healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. As a division of CooperCompanies, we\'re driven by a unified purpose to enable patients to experience life\'s beautiful moments. Guided by our shared values – dedicated, innovative, friendly, partners, and do the right thing – our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women’s and family care, and beyond. We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions. Learn more at www.coopersurgical.com. 

    Work location: Trumbull, CT (on-site), Livingston, NJ (on-site) or Remote in US (if not residing in NY-metro area)

    Scope: 

    The Data Engineer Lead - PMS & QA leads data analysis, visualization, and reporting of Medical Device performance and Post Market Surveillance activities within the PMS team as well as the broader QA function and supports CooperSurgical Complaint Management and other Quality areas by working in partnership with Commercial, Operations, Regulatory Affairs and Post Market Surveillance teams. 

    Job Summary:

    The Data Engineer Lead - PMS & QA is responsible for leading data analysis, visualization, and reporting of Medical Device performance and Post Market Surveillance activities within the PMS team as well as across the broader QA function. This role helps to ensure on-going regulatory compliance and continuous product & process improvements within PMS & QA and supports CooperSurgical Complaint Management and other Quality areas by working in partnership with our Commercial, Operations (QA & Manufacturing), Regulatory Affairs and Post Market Surveillance teams. 

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