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Remote Data Engineer Jobs in Connecticut (NOW HIRING)

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with data engineering, ETL technology, and conversation UX is a plus. * Experience with ...

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

AI Engineer

Hartford, CT · On-site +1

$1/hr

We are seeking an AI Applications Developer to support the ongoing operation, modernization, and enhancement of AI-enabled applications that manage confidential and regulated data. This is a hands-on ...

Showing results 21-40

Remote Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Connecticut?

The most popular types of Data Engineer jobs in Connecticut are:

What are popular job titles related to Remote Data Engineer jobs in Connecticut?

For Remote Data Engineer jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Data Engineer jobs?

Cities in Connecticut with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 2% As Needed, 89% Full Time, 4% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Senior Data Modeler (Snowflake)

New Haven, CT • On-site, Remote

Fusion Consulting
Business Management Consulting • 1 - 10 employees

Full-time

Re-posted 17 days ago


Job description

Company Description

Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide.

Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.

With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.

Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.

Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.

Job Description

We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards.
What You Will Be Doing:

  • Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability.
  • Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
  • Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
  • Align models and metadata with governance standards and tools, including Collibra.
  • Ensure all modeling and transformation logic is well-documented for traceability and compliance.
  • Support performance tuning and optimization of data pipelines.
  • Work in a distributed, global environment with both technical and business stakeholders.
Qualifications
  • 4–7 years of experience as a Data Modeler or similar role.
  • Proven expertise in Snowflake physical data modeling and SQL.
  • Understanding of data integration and ETL/ELT principles; experience with tools like dbt, Matillion, or Fivetran is a plus.
  • Experience with Data Vault 2.0 is a must
  • Experience with metadata and data governance platforms, ideally Collibra.
  • Familiarity with AWS services, particularly S3 is a plus
  • Solid grasp of data modeling best practices (e.g., star schema, normalization, data vault).
  • Ability to work independently in a remote, cross-functional environment.
  • Excellent communication and documentation skills.


Preferred:

  • Experience in pharmaceutical/life sciences data and regulatory frameworks.
  • Familiarity with data quality tools such as Ataccama.

Additional Information

WHY YOU SHOULD JOIN FUSION:

At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes.

You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork—empowering you to grow both professionally and personally.

Joining Fusion means becoming part of a company that:

  • Builds strong, trusted partnerships with clients, delivering tailored solutions that create real business value.
  • Drives delivery excellence, holding ourselves accountable for the quality and impact of every outcome.
  • Encourages entrepreneurial thinking, empowering you to take initiative, solve problems, and lead change.
  • Operates with a truly global mindset, where diverse perspectives, cultures, and collaboration fuel our success.

WHAT WE OFFER - FUSION BENEFITS

We’ve designed our benefits to support your growth, well-being, and global mobility.

Flexibility & Balance

  • Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location.
  • Recharge Freely: Take the time you need with flexible time off—beyond standard holiday allowances.
  • Connect as a Team: Use your team’s integration budget to meet, collaborate, and bond.
  • Celebrate Your Birthday: Receive a special gift from Fusion on your birthday.

Growth & Development

  • Invest in Your Learning: Access CHF 1,500 annually for professional development.
  • Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills.
  • Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms.
  • Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change.

Recognition & Reward

  • Earn What You’re Worth: Receive a competitive salary and benefits package that reflects your impact.
  • Refer Talent: Get rewarded for recommending new hires through our referral program.
  • Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme.

Global Mobility & Local Support

  • Relocate with Ease: Receive financial assistance when moving for work.
  • Navigate Global Moves: Get help with visas, permits, and international assignments.
  • Benefit Locally: Enjoy perks tailored to your country of residence.
  • Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success.

OUR SELECTION PROCESS:

Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit:

Upload Your CV – Submit your application using the relevant button, depending on the job platform (approx. 3 minutes).

Wait for Profile Review – Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks).

Join an Introductory Call – Our Talent Acquisition team will arrange a brief conversation (15–30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations.

Attend a Technical Interview – Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail.

Participate in a Client Interview (if applicable) – For some roles, you may be invited to a client-facing discussion (30–60 minutes online).

Receive Final Feedback – We aim to share timely feedback and move forward quickly.

Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.