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Remote Data Engineer Jobs in Bridgeport, CT (NOW HIRING)

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 ...

Showing results 21-40

Remote Data Engineer information

See Bridgeport, CT salary details

$45.2K

$131.9K

$180.5K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Bridgeport, CT is $131,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
What are the most commonly searched types of Data Engineer jobs in Bridgeport, CT? The most popular types of Data Engineer jobs in Bridgeport, CT are:
What are popular job titles related to Remote Data Engineer jobs in Bridgeport, CT? For Remote Data Engineer jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Bridgeport, CT look for? The top searched job categories for Remote Data Engineer jobs in Bridgeport, CT are:
What cities near Bridgeport, CT are hiring for Remote Data Engineer jobs? Cities near Bridgeport, CT with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Bridgeport, CT as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,891 per year, or $63.4 per hour.

Senior FPGA Design Engineer

Hirekeyz Inc

Yorktown Heights, NY • Remote

$125K - $173K/yr

Contractor

Re-posted 19 days ago


Job description

Role: Senior FPGA Design Engineer

Location: Remote

Duration: 12+ Months Contract

Job Summary:

Research team has a need for an Electrical Engineer highly experienced in the design and implementation of complex functions and solutions in FPGAs. Candidates must have an extensive knowledge of Verilog or VHDL;  they must possess the skills and experience customizing and integrating third-party IP, executing timing driven synthesis, running simulations, and performing design validation. Strong candidates will have design experience or a proficient understanding of the PCIe or Interlaken interface standards. Knowledge and fluency designing Xilinx FPGAs using the Vivado Design Suite is highly desirable.

  

Job Duties:

  • Job Duty 1 – Design (and implement) PCIe-to-Interlaken section of the Host FPGA Data Path. Interlaken is IP licensed from third-party.
  • Job Duty 2 -  Work with ASIC team to implement Host FPGA Interlaken interface to the ASIC’s Interlaken interface.
  • Job Duty 3 -  Work with Software team and Electronics Design team to test and verify functionality of entire data path from the Front-end Host to the Interlaken interface on the Host FPGA.
  • Job Duty 4 – Validate full data path between the Front-end Host and the ASIC S-Tree is functioning as designed.
  • Job Duty 5 – Optimize design for performance improvements.
  • Job Duty 6 – Write technical documentation describing FPGA architecture, its functional blocks and the data flow to and from the Host and ASIC.

Basic Skills, clearances and other elements required, in order of importance, and number of years’ experience, where applicable,  in each skill:

  • Bachelor’s or Master’s degree in Electrical Engineering.
  • Minimum of 10 years’ experience.
  • Design an FPGA based on functionality requirements and third-party IP for standardized interfaces; Implement design in Verilog or VHDL, synthesize FPGA, achieve timing closure, debug FPGA’s functionality in the system. (10 years).
  • Understanding of PCIe and how the interface works; Understanding of Interlaken and how the interface works.  (5 years).
  • Experience working with high-speed serial communication protocols.  Working with interfaces and logic blocks in different clock domains.  Design of clock trees for high-speed serial protocols. (10 years).
  • Design data structures and control mechanisms for transferring high-speed serial data between two protocols in different clock domains, i.e., queueing and/or buffer management.  (10 years).
  • Ability to work other design team which will interface with the FPGA or run Software using the FPGA logic.  Build a collaborative relationship with other team members..
  • Good communication skills, both written and verbal.
  • Demonstrated success working on a complex, tightly scheduled next-generation design where others depend on your work to progress.
  • Familiarity with Linux. 
  • Experience writing Python scripts.
  • Other: Show initiative by reading data sheets, specifications and other technical documentation.

 

Other Skills Desired, Years in each skill, where applicable:

  • Experience working with remote team members.
  • Exhibit eagerness to shorten learning curve and engage team members early.