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Data Solutions Developer Jobs in Pittsburgh, PA (NOW HIRING)

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

Collaborate cross-functionally with litigation management, engineering, and product teams to ... into data solutions * Excellent communication skills, with the ability to explain technical ...

Collaborate cross-functionally with litigation management, engineering, and product teams to ... into data solutions * Excellent communication skills, with the ability to explain technical ...

Big Data Engineer

Pittsburgh, PA · On-site

$100K - $130K/yr

Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team. * Mentor, guide, and support other data engineers through code reviews ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Proposes & designs data solutions to address complex business needs. * Prepares technical and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Proposes & designs data solutions to address complex business needs. * Prepares technical and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Proposes & designs data solutions to address complex business needs. * Prepares technical and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Proposes & designs data solutions to address complex business needs. * Prepares technical and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Proposes & designs data solutions to address complex business needs. * Prepares technical and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... solution. • Collaborate with Finance Product owners and analysts to gather requirements and ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Design and build scalable, secure, and cost-effective data solutions in Snowflake. * Develop and ... Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities:

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role ... Build scalable data solutions using Databricks and Apache Spark (PySpark / Spark SQL) . * Develop ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Design and build scalable, secure, and cost-effective data solutions in Snowflake. * Develop and ... Mentor junior engineers and support knowledge sharing across the team. Supervisory Responsibilities:

Big Data Engineer

Pittsburgh, PA

$54 - $71.50/hr

Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team. * Mentor, guide, and support other data engineers through code reviews ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

The engineer will work directly at the client location in Pennsylvania and collaborate closely with technical teams to deliver scalable and high-performing data solutions. Key responsibilities:

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

... engineering, with demonstrated ownership of architecture decisions. * Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks. * Deep ...

Informatica Developer

Pittsburgh, PA · On-site

$51.75 - $68/hr

As an Informatica Developer within PNC's Technology organization, you will be based in Pittsburgh ... Proposes & designs data solutions to address complex business needs. Prepares technical and ...

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Showing results 1-20

Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Pittsburgh, PA?

For Data Solutions Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Solutions Developer jobs in Pittsburgh, PA look for?

The top searched job categories for Data Solutions Developer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Solutions Developer jobs?

Cities near Pittsburgh, PA with the most Data Solutions Developer job openings:

Infographic showing various Data Solutions Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

Data Solutions Analyst

Pattern Data

Pittsburgh, PA • On-site

$80K - $110K/yr

Full-time

Re-posted 11 days ago


Job description

Who We Are
Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive.
The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs.
We're a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the "why," build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we're looking for someone who's excited to contribute to a team that's actively building and improving every day.
What You'll Do
As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You'll partner with clients and internal teams to solve data questions, build long term solutions, and validate outputs to ensure accuracy across every settlement you support. At Pattern, you will be responsible for the following:
  • Be available and responsive to client and internal requests across settlement programs
  • Become an expert on the eligibility criteria, claims data, and valuation methodology specific to each settlement to provide informed, accurate guidance and data solutions
  • Provide client and internal support on Pattern's API capabilities
  • Provide data support, translating client questions into clear, accurate answers using settlement data and platform tooling
  • Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data, calculations, and outputs
  • Perform quality checks and troubleshoot data discrepancies flagged by clients or internal teams
  • Document recurring questions and solutions to build institutional knowledge across the our settlement programs
  • Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues

What You'll Bring
  • Strong analytical and problem-solving skills, with the ability to quickly learn the details of multiple settlement programs and translating them into data solutions
  • Excellent communication skills, with the ability to explain technical concepts and data findings clearly to both technical and non-technical stakeholders
  • Comfort managing multiple, sometimes competing priorities across concurrent projects
  • 1 or more years of experience working with SQL data sources, with comfort writing and debugging queries
  • Familiarity with Python or a similar scripting language for data validation and automation
  • Exceptional attention to detail and a client-first mindset, with a willingness to serve as a flexible, on-call resource across programs
  • Advanced proficiency in spreadsheet tooling i.e. Excel
  • Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience
  • Willingness to travel or be available outside standard business hours as settlement deadlines require
  • Experience in the legal industry is a plus

Pay Transparency Disclosure
The estimated base salary range for this role is $80,000-$110,000 per year, plus commission and benefits.
At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.
Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.
We understand that exceptional candidates bring unique backgrounds and strengths. If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly.
Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.
Ready to meet us?
Please apply directly through our website or Linkedin. We are excited to hear from you!