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Software Engineer - Data

Pay
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Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
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Employment
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What you’ll work on

Full posting

The Software Engineer - Data builds and maintains the data pipelines, services, and APIs that power analytics and AI features across Onit's legal operations platform, spanning enterprise legal management, matter management, spend management, and contract lifecycle management.

  • Build, test, and maintain data pipelines, backend services, and APIs

  • Write and optimise SQL queries and implement schema changes and data models

  • Implement automated tests and data validation checks, and help monitor pipelines

  • Investigate and resolve data and application issues, escalating complex problems

  • Take part in sprint planning, stand-ups, retrospectives, and code reviews

From the employer’s posting
The Software Engineer - Data builds and maintains the data pipelines, services, and APIs that power analytics and AI features across Onit's legal operations platform, spanning enterprise legal management, matter management, spend management, and contract lifecycle management. This engineering-focused role applies sound software engineering practices to data, writing clean, tested, production-grade code. Working under the guidance of Senior Software Engineers and the Data Architect, and alongside product managers, data scientists, and QA, the Software Engineer - Data delivers well-defined features and grows technical depth in data-intensive systems.
Build, test, and maintain data pipelines, backend services, and APIs that ingest, transform, and serve data to product features
Write and optimise SQL queries and implement schema changes and data models defined with senior engineers
Implement automated tests and data validation checks, and help monitor pipelines so data issues are caught early
Investigate, debug, and resolve data and application issues in a timely manner, escalating complex problems appropriately
Participate in sprint planning, stand-ups, and retrospectives, and take part in code reviews

What you’ll bring

All qualifications

Core experience

  • 3+ years of professional software engineering experience, including hands-on work with data pipelines, backend services, or data-driven applications.
  • Proficiency in Ruby (or a comparable language such as Python), with solid understanding of object-oriented programming, testing, and clean code practices.
  • Strong SQL skills and understanding of relational database design (e.g., PostgreSQL, SQL Server, or MySQL), including writing efficient queries.
  • Experience building or consuming REST APIs and working with common data formats (JSON, CSV, Parquet).
  • Familiarity with ETL/ELT concepts, data validation, and error handling in data pipelines.
  • Experience with Git-based workflows and CI/CD; familiarity with cloud platforms (AWS preferred) and Docker.
Qualification wording
3+ years of professional software engineering experience, including hands-on work with data pipelines, backend services, or data-driven applications.
Proficiency in Ruby (or a comparable language such as Python), with solid understanding of object-oriented programming, testing, and clean code practices.
Strong SQL skills and understanding of relational database design (e.g., PostgreSQL, SQL Server, or MySQL), including writing efficient queries.
Experience building or consuming REST APIs and working with common data formats (JSON, CSV, Parquet).
Familiarity with ETL/ELT concepts, data validation, and error handling in data pipelines.
Experience with Git-based workflows and CI/CD; familiarity with cloud platforms (AWS preferred) and Docker.

About Onity Group

We're redefining the future of legal operations through the power of AI.

In the employer’s words · Read in context

Apply at Onity Group

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 20264 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

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From 10,736 similar postings that came down. Coming down is not always a hire.

Onity Group is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Ruby
  • SQL
  • AWS
  • Docker
  • MySQL
  • PostgreSQL
  • Spark
  • SQL Server
  • Airflow
Where the posting names them
• 3+ years of professional software engineering experience, including hands-on work with data pipelines, backend services, or data-driven applications. • Proficiency in Ruby (or a comparable language such as Python), with solid understanding of object-oriented programming, testing, and clean code practices. • Strong SQL skills and understanding of relational database design (e.g., PostgreSQL, SQL Server, or MySQL), including writing efficient queries.
• Pipeline & Service Development: Build, test, and maintain data pipelines, backend services, and APIs that ingest, transform, and serve data to product features, following established designs and standards. • SQL & Data Modelling: Write and optimise SQL queries and implement schema changes and data models defined with senior engineers. • Data Quality: Implement automated tests and data validation checks, and help monitor pipelines so data issues are caught early.
• Proficiency in Ruby (or a comparable language such as Python), with solid understanding of object-oriented programming, testing, and clean code practices. • Strong SQL skills and understanding of relational database design (e.g., PostgreSQL, SQL Server, or MySQL), including writing efficient queries. • Experience building or consuming REST APIs and working with common data formats (JSON, CSV, Parquet).
• Familiarity with ETL/ELT concepts, data validation, and error handling in data pipelines. • Experience with Git-based workflows and CI/CD; familiarity with cloud platforms (AWS preferred) and Docker. • Working proficiency with AI coding tools (e.g., Claude, Cursor) for code generation, debugging, and testing, with the judgment to review and validate AI-generated code.
Preferred Qualifications • Exposure to distributed data processing (e.g., Spark) or workflow orchestration tools (e.g., Airflow). • Exposure to analytical or columnar data stores.

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Onit
We're redefining the future of legal operations through the power of AI. Our cutting-edge platform streamlines enterprise legal management, matter management, spend management and contract lifecycle processes, transforming manual workflows into intelligent, automated solutions.

We’re a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we’re looking for bold thinkers and builders who are excited to shape the next chapter of legal tech.
If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we’d love to meet you.

Position Summary

The Software Engineer - Data builds and maintains the data pipelines, services, and APIs that power analytics and AI features across Onit's legal operations platform, spanning enterprise legal management, matter management, spend management, and contract lifecycle management. This engineering-focused role applies sound software engineering practices to data, writing clean, tested, production-grade code. Working under the guidance of Senior Software Engineers and the Data Architect, and alongside product managers, data scientists, and QA, the Software Engineer - Data delivers well-defined features and grows technical depth in data-intensive systems.

Key Responsibilities

    • Pipeline & Service Development: Build, test, and maintain data pipelines, backend services, and APIs that ingest, transform, and serve data to product features, following established designs and standards.

    • SQL & Data Modelling: Write and optimise SQL queries and implement schema changes and data models defined with senior engineers.

    • Data Quality: Implement automated tests and data validation checks, and help monitor pipelines so data issues are caught early.

    • Troubleshooting: Investigate, debug, and resolve data and application issues in a timely manner, escalating complex problems appropriately.

    • Agile Delivery & Code Reviews: Participate in sprint planning, stand-ups, and retrospectives, and take part in code reviews to improve quality and learn from the team.

    • Documentation & Learning: Contribute to technical documentation and knowledge sharing, and continuously build skills in data engineering and software design.

Required Skills

    • 3+ years of professional software engineering experience, including hands-on work with data pipelines, backend services, or data-driven applications.

    • Proficiency in Ruby (or a comparable language such as Python), with solid understanding of object-oriented programming, testing, and clean code practices.

    • Strong SQL skills and understanding of relational database design (e.g., PostgreSQL, SQL Server, or MySQL), including writing efficient queries.

    • Experience building or consuming REST APIs and working with common data formats (JSON, CSV, Parquet).

    • Familiarity with ETL/ELT concepts, data validation, and error handling in data pipelines.

    • Experience with Git-based workflows and CI/CD; familiarity with cloud platforms (AWS preferred) and Docker.

    • Working proficiency with AI coding tools (e.g., Claude, Cursor) for code generation, debugging, and testing, with the judgment to review and validate AI-generated code.

    • Strong analytical and troubleshooting skills, attention to detail, and good verbal and written communication.

Preferred Qualifications

    • Exposure to distributed data processing (e.g., Spark) or workflow orchestration tools (e.g., Airflow).

    • Exposure to analytical or columnar data stores.

    • Background in enterprise B2B SaaS or the legal technology domain.

Benefits & Perks That Support You:
Onit offers a comprehensive total rewards package designed to support the whole employee at work and beyond:
Health Coverage: Employee and immediate family members.
Time Away: Flexible paid time off and 10 company paid holidays annually.
Family Support: Exceptional paid leave for birth parents, non-birth parents, and caregivers.  Onit also offers surrogacy and adoption reimbursement.
Income Protection: 100% employer-paid life and disability insurance.
Additional Coverage Options: Voluntary benefits including hospital indemnity, critical illness, accident.
Tax-Advantaged Accounts: Flexi, NPS.
Community Engagement: One paid volunteer day each year to give back to the community.

Our Commitment to Applicants
We know that not everyone will check every box in a job description. At Onit, we value diversity, inclusion, and authenticity. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply. You may be exactly who we’re looking for.

Onit Values 
Customer First - Customer success is our success. We deliver value, listen, and act on customer needs. 
Purposeful Innovation - Innovation fuels our growth. We harness creativity to solve problems and lead with the intentions and expertise. 
Win as One - Teamwork is how we win. We are accountable, act with integrity, and communicate openly. 
Intentional Growth - Our people are the difference. We create an environment with compelling work, impactful contributions, and career growth. 

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Pune, Maharashtra

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