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dataroles

Java backend data engineer - Smithfield RI

Fa Ertb Saasfaprod1 Open · verified Oct 24, 2026
United States Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fa Ertb Saasfaprod1. United States · $40,000–$142,000 base.

SalaryStated by Fa Ertb Saasfaprod1
$40,000 – $142,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationUnited States
Base pay$40,000–$142,000
PostedApr 16, 2026 · 6mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design, build, release and support Java-based data solutions across operational and analytical platforms
  • Use Spring Batch, Python, AWS, Oracle and Snowflake to develop and run data workflows
  • Improve the accuracy of financial product data used by compensation, sales and reporting teams
  • Analyze data and support production systems as part of a single development squad

What you bring

  • A technology-related bachelor's or master's degree and at least five years of professional experience
  • At least ten years of Java development with Spring, including hands-on Spring Batch job writing
  • Two or more years building backend or batch applications on AWS, especially with AWS Batch and S3
  • At least three years using SQL, including Oracle or Snowflake, plus a year of Python development

Who this fits

This mid-level role is positioned as a more senior developer within one squad. It suits someone comfortable analyzing complex data environments and working independently or with teams across the business. Financial services experience is a plus.

From the employer

Looking for a highly motivated Java Backend Data Engineer responsible for designing, building, and maintaining the operational and analytical capability in FI's data platforms. The work involves solution design, data analysis, end to end development, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. The role will be involved in projects centered around maintaining and improving the quality of financial product information brought into our data ecosystem that will provide value to our compensation, sales, and reporting users. The role will be positioned as a more senior developer within a single squad.

The skillset aligns with a Java backend data engineer. Top 3 required skills are Spring Batch, AWS, and SQL (Oracle, Snowflake).

The Expertise and Skills You Bring

  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
  • 10+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must
  • 2+ years of experience developing batch / backend applications that run in AWS, with focus on AWS Batch and S3
  • 3+ years working with SQL (ANSI SQL, Oracle, Snowflake)
  • 1+ years of Python development
  • Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
  • Strong data modeling skills with experience working with 3NF and Star Schema data models
  • Proven data analysis skills; not afraid to work in a complex data ecosystem
  • Hands-on experience on SQL query optimization and tuning to improve performance is desirable
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
  • Experience in Agile methodologies (SCRUM)
  • Experience building and deploying containerized applications using Docker
  • Work experience in the financial services industry is a plus
  • Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
  • Good interpersonal skills to work with multiple teams within the business unit and across the organization

The Value You Deliver

  • Passion and intellectually curiosity to learn new technologies and business areas
  • Working with our business partners to enhance their user experience and provide them curated data to help them drive business results more effectively
  • Enhancing data quality of financial product information in our systems that has large impact on sales, compensation, and reporting business users

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 142,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$40k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.