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

1 point system

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL ...

Biohub

Staff Data Engineer

New York, NY · On-site +1

$241K - $301K/yr

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

Verse Medical

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

Xforia, Inc.

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone) * Design and implement efficient data handling system based of Java and Spark tech stack. * Perform and ...

Sportradar

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Follow best practices across Data Engineering to ensure scalable, consistent data architecture and system. Utilize Java language to build data processor in Nifi framework. * Utilize Docker to ensure ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

Our foundational data engineering and reporting are expertly managed by our technical team in India ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

Regard

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Empassion

Senior Data Engineer (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

What you will bring * 2+ years in data engineering or analytics engineering with proven ability to ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

Galaxy

FP&A Data Engineer

New York, NY · On-site +1

$225K - $250K/yr

A candidate should have experience developing Python/SQL-based solutions, and a detailed working knowledge of core data engineering concepts (relational and non-relational data structures, ETL ...

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. In this role, you will be ...

MDOTM

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. In this role, you will be ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Norwalk, CT

Remote Data Engineer information

See Norwalk, CT salary details

$44.7K

$130.2K

$178.2K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Norwalk, CT is $130,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $138,000.00 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Norwalk, CT? The most popular types of Data Engineer jobs in Norwalk, CT are:
What are popular job titles related to Remote Data Engineer jobs in Norwalk, CT? For Remote Data Engineer jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Norwalk, CT look for? The top searched job categories for Remote Data Engineer jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Remote Data Engineer jobs? Cities near Norwalk, CT with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Norwalk, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, 4% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,207 per year, or $62.6 per hour.

Big Data Engineer

1 point system

New York, NY • Remote

$57 - $75.50/hr

Contractor

Re-posted 8 hours ago

Job description

Interview Process:

  • First Round Interview – 60 minutes TEAMS coding exercise
  • Second Round Interview – 90-minute interview, they will actually have you do a paired programming session to see how you interact and what your thought process is when going through the code

Must Have:-

  • Python, SQL, GCP(BQ), Spark, Airflow 
  • GCP Shop - using Big Query
  • Does NOT want a machine learning engineer, wants a big data engineer

Required Skills:

  • 5-10 years of experience
  • Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL databases, Apache Kafka, writing complex sql queries, GCP (Bigquery, Dataproc), working with RESTful APIs in data pipelines, CI/CD (gitlab CI)

Bonus Skills:

  • Experience with backend stack (Java, Springboot)

Who the team is and what they do:

The Customer Identity (CI) team is central to the enterprise, focused on ensuring customer data is accurate, consistent, and readily accessible. This critical data is the foundation for essential business processes, including personalized marketing, analytical reporting, and seamless online and in-store checkout and customer service experiences.

The CI team manages a wide array of high-performance, scalable batch and real-time services. These services are utilized at numerous customer interactions, such as in-store purchases, online orders, rewards program enrollments, and activations from various marketing channels (Email, Direct Mail, SMS, Push notifications, etc.). By leveraging modern development practices, tools, and technology platforms, the CI team builds capabilities that empower our customer-facing and checkout teams to deliver personalized, relevant, and frictionless experiences, ensuring customers realize value with every interaction.