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Senior Data Engineer 500K Jobs (NOW HIRING)

Senior Data Engineer

Bloomfield, CT ยท On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

Sr. Data Engineer

Raleigh, NC ยท Hybrid

$111K - $133K/yr

Job Title: Sr. Data Engineer Skills: Azure Data Factory, Databricks, Snowflake, Azure Devops Experience: 10+ years Location: Raleigh, NC (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. ...

Sr. Data Engineer - Databricks

$117K - $140K/yr

We have an exciting opportunity for a highly skilled Sr. Data Engineer - Databricks to join our innovative and dynamic team. Sr. Data Engineer - Databricks | About You As a Sr. Data Engineer ...

Senior Data Engineer

Houston, TX ยท Remote

$123K - $154K/yr

The Senior Data Engineer plays a pivotal role in operationalizing critical data and analytics that support digital business initiatives, with a strong focus on data analytics and delivery through the ...

Senior Data Engineer

Brentwood, TN

$100K - $136K/yr

Senior Data Engineer @ Brentwood, TN (Onsite) We're looking for a Senior Data Engineer to join our Enterprise Data Engineering team. Ideal candidates will have 10+ years of Data Engineering ...

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Sr Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Position Title * Sr Data Engineer Position Responsibilities Role: Senior Data Engineer Location: New York City (Onsite) Work Arrangement: Onsite Duration: Contract, potential for extension Key ...

Sr Data Engineer

$117K - $140K/yr

Position: Sr Data Engineer Developer Location: Remote Years of Exp: 15+ years needed As an Sr Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new ...

Senior Data Engineer

Miami, FL

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted data products and platforms that enable trusted analytics, AI/ML, and Generative AI use cases. The ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF Role Overview The Senior Data Engineer will design, build, and optimize scalable data pipelines and ...

Sr. Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Role Name: Sr. Data Engineer Location: Atlanta, GA Experience: 6-8+ Years Roles & Responsibilities: * Drive world-class design and development of analytical data pipelines. * Adhere to processes to ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Senior Data Engineer Chicago, IL - Onsite- Need Local Senior Data Engineer We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data ...

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Senior Data Engineer 500K information

See salary details

$81K

$126.3K

$175K

How much do senior data engineer 500k jobs pay per year?

As of Jun 12, 2026, the average yearly pay for senior data engineer 500k in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Data Engineers face when designing large-scale data pipelines, and how are they typically addressed?

Senior Data Engineers often encounter challenges related to data scalability, ensuring data quality, and maintaining pipeline reliability as systems grow. Handling massive data volumes requires careful architectural decisions, such as choosing the right data partitioning and storage solutions. Addressing these challenges typically involves leveraging distributed processing frameworks (like Spark), implementing robust data validation checks, and collaborating closely with data scientists and DevOps teams for seamless deployment and monitoring. Effective documentation and proactive troubleshooting also play key roles in overcoming these hurdles.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need advanced knowledge in data modeling, ETL processes, database systems, and programming languages such as Python or Scala, typically supported by a degree in computer science or related fields. Familiarity with big data tools like Spark, Hadoop, cloud platforms (AWS, GCP, Azure), and relevant certifications (e.g., Google Professional Data Engineer) are highly valuable. Strong problem-solving, communication, and project management skills help you lead teams and collaborate across departments. These capabilities ensure scalable, reliable data infrastructure and drive impactful business insights.

What is the difference between Senior Data Engineer 500K vs Data Architect?

AspectSenior Data Engineer 500KData Architect
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with cloud platformsSimilar credentials; often includes certifications like AWS Certified Solutions Architect
Work EnvironmentData pipelines, ETL processes, cloud environmentsDesigning data systems, architecture planning, high-level data strategy
Industry UsageTech, finance, healthcare, e-commerceSame industries, focusing on data infrastructure design
Search & Comparison IntentOften compared for technical roles with hands-on data engineering tasksCompared for strategic, high-level data system planning

While both roles require strong technical skills and similar credentials, Senior Data Engineer 500K focuses on building and maintaining data pipelines, whereas Data Architect emphasizes designing overall data systems and architecture. The choice depends on whether the role is more operational or strategic within an organization.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced technology professional responsible for designing, building, and maintaining the infrastructure and tools needed to collect, store, process, and analyze large volumes of data. They work with big data technologies, databases, and data pipelines to ensure data is accessible, reliable, and secure for analytics and business intelligence purposes. Senior Data Engineers often mentor junior team members, make architectural decisions, and collaborate closely with data scientists, analysts, and other stakeholders to enable data-driven decision-making within an organization.
More about Senior Data Engineer 500K jobs
What cities are hiring for Senior Data Engineer 500K jobs? Cities with the most Senior Data Engineer 500K job openings:
What are the most commonly searched types of Data Engineer 500K jobs? The most popular types of Data Engineer 500K jobs are:
What states have the most Senior Data Engineer 500K jobs? States with the most job openings for Senior Data Engineer 500K jobs include:
Infographic showing various Senior Data Engineer 500K job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 5% Temporary, and 20% Contract. Highlights an 65% In-person, 15% Hybrid, and 20% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Engineer

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT โ€ข On-site

$105K - $143K/yr

Full-time

Posted 16 days ago


Job description

NAVA Software solutions is looking for a Senior Data Engineer
Details:
Role: Senior Data Engineer
Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates
Duration: 6-12 months
What You Will Do:
The Senior Data Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Senior Data Engineer, among others, is Ownership & Accountability.
In addition to Delivery, the Senior Data Engineer should have an automation first and continuous improvement mindset. They should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Behaviors of a Full Stack Engineer:
Senior Data Engineer is able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineer - not institutionalized developers.
Key Characteristics and duties you will perform:
  • Analyze source data and data flows, working with structured and unstructured data.
  • Build data pipelines to extract, transform, crunch and store data in various target systems
  • Write reference-able & modular code
  • Design and architect the solution independently
  • Have a passion to learn, Take ownership and accountability
  • Deep desire for automation using devops practices and toolsets
  • Have a desire to simplify;be entrepreneurial / business minded

Skills and Experience You Will Need:
Mandatory:
  • 2+ years being part of Agile teams - Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 6+ years of working in an object-oriented language: Java or Scala and Python
  • 3+ years of working experience in Apache Spark, PySpark, Apache Airflow
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible
  • 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
  • 2+ years of working experience with operationalizing Machine learning models

Desired:
  • Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
  • Understanding and 1+ yrs of working experience with Deep learning frameworks

Skills/Certifications/Licenses:
  • Nice to have AWS solution architecture and developer certification
  • Nice to have data science and Machine learning certification from a reputed institution

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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