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Java Data Engineer Jobs in Waterbury, CT (NOW HIRING)

Senior Data Engineer

Bloomfield, CT ยท On-site

$105K - $143K/yr

Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is ... Java or Scala and Python * 3+ years of working experience in Apache Spark, PySpark, Apache Airflow ...

Program Management L1

Orange, CT ยท On-site

$100K - $185K/yr

Manage scope, milestones, dependencies, risks, and issues across SAP, Java, Data, and Salesforce ... Bachelor's degree in Engineering, Computer Science, or related field (Master's preferred). * PMP ...

Program Manager L1(Contract)

Orange, CT ยท On-site

$100K - $185K/yr

Manage scope, milestones, dependencies, risks, and issues across SAP, Java, Data, and Salesforce ... Bachelor's degree in Engineering, Computer Science, or related field (Master's preferred). * PMP ...

JAVA DEVELOPER

Rocky Hill, CT

$48.50 - $63/hr

We are looking for Java Developers with experience in building high-performing, scalable ... Spring Core, Spring MVC, Spring Data * Experience in working with Rest web services * Experience in ...

Senior Big Data Developer

Bristol, CT ยท On-site

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Programming skills in Python or Java. * Strong Excel capability. * Familiarity with enterprise ... Knowledge of data modeling (conceptual, logical, physical), MDM, and reference data management.

Senior Software Engineer

Bloomfield, CT

$122K - $161K/yr

Experience working with Java messaging systems such as ActiveMQ or comparable technologies ... Exposure to ETL workflows or large data migration initiatives. * Knowledge of CSS, HTML5, and ...

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Java Data Engineer information

See Waterbury, CT salary details

$27

$61

$87

How much do java data engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for java data engineer in Waterbury, CT is $61.75, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $69.76 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Waterbury, CT? For Java Data Engineer jobs in Waterbury, CT, the most frequently searched job titles are:
Infographic showing various Java Data Engineer job openings in Waterbury, CT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,438 per year, or $61.7 per hour.
Senior Data Engineer

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT โ€ข On-site

$105K - $143K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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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