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Data Solutions Developer Jobs (NOW HIRING)

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

They are seeking an AEP Lead Data Solutions Engineer to collaborate within the Adobe Experience Platform suite, focusing on building scalable data solutions and ensuring data accuracy for impactful ...

$150K - $300K/yr

Data Solutions Engineer AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary ...

Data Solutions Engineer

Tempe, AZ · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ...

Data Solutions Engineer

Allentown, PA · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ...

Data Solutions Engineer

OR · On-site +1

$150K - $300K/yr

Data Solutions Engineer AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ...

Data Solutions Engineer

Irving, TX · On-site +1

$91.53K - $156.50K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ...

Data Solutions Engineer

Boca Raton, FL · On-site

$108.30K - $130.10K/yr

... Data Solutions Engineer will design, build, and optimize scalable data architecture, backend ... Azure Developer Associate (AZ-204) * SQL Server certifications (e.g., legacy MCSA SQL track) * API ...

Data Solutions Engineer

New York, NY · On-site

$100K - $145K/yr

Role overview GovWell is hiring a Data Solutions Engineer to help governments transition from legacy systems to modern software. You'll own customer data migrations and GIS onboarding end-to-end ...

Working closely with Engineering and Business resources across the globe to ensure delivery of efficient cost effective solutions to business needs are met * Design and implement scalable data ...

Tesla is seeking a Manager, Data Solutions Engineering to lead their Data & Software Solutions efforts within the Commercial Energy Service Business Operations team. The role involves overseeing data ...

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Data Solutions Developer information

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

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 a Data Solutions Developer?

A Data Solutions Developer is a professional who designs, builds, and maintains systems that help organizations manage, process, and analyze large sets of data. They use various programming languages, databases, and data integration tools to create solutions that enable businesses to extract valuable insights from their data. This role often involves working closely with data analysts, data scientists, and other IT professionals to ensure data is accessible, reliable, and secure. Data Solutions Developers play a key role in helping organizations make data-driven decisions by developing custom applications, automating data workflows, and integrating data from multiple sources.

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.

More about Data Solutions Developer jobs
What cities are hiring for Data Solutions Developer jobs? Cities with the most Data Solutions Developer job openings:
What states have the most Data Solutions Developer jobs? States with the most job openings for Data Solutions Developer jobs include:
Infographic showing various Data Solutions Developer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 90% Physical, and 10% Remote job distribution.

$53 - $68.25/hr

Full-time

Posted 8 days ago


Job description

Description

Are you passionate about

the power of data and how technology can unlock the analytical powers to help USRM

achieve its strategic goals? If so the DAE, Data Analytics and Engineering team

is looking for a motivated team player to support the USRM Business Delivery

Solutions Engineering (BDSE) squads as they deliver cutting edge business data solutions.  In addition, you will be part of the overall USRM

DAE data ecosystem and lead key initiatives such as Frontier, AI advancement

and capabilities and changing our engineering pipelines and ecosystem using AI.

Provides technical oversight and

engineering solutions to most complex and strategic system and data application

development projects.  Break-down complex business problems into simple/ modular, flexible, extensible, scalable, and performant data solutions.  Responsible for the implementation of technology by developing clear, comprehensive, and integrated systems, technical and/or product recommendations which support

business plans and long-term strategies. Oversees design reviews and frameworks

for multiple product teams and large portfolios.  Working closely with Enterprise and Data

Solution Architects, drives adoption of architecture standards to promote operational excellence, security, reliability, performance efficiency, and cost optimization into operating norms. Recognized as a thought leader within discipline who influences decisions made by senior leadership and advances the

craft of engineering within our organization.

As part of this fast-paced team you will help influence the transformation of our data strategy

and roadmap delivering key data solutions in direct alignment with business

strategies.  The candidate will be part of a talented and empowered engineering

team defining and building the next generation of data solutions.  As a Sr. Solutions Engineer you coach and

guide the solutions engineers and data engineering teams with a primary focus on accelerating quality and speed to market business data delivery solutions.  As a thought leader, you will work with over 35 development squadsto shape our strategic direction and future engineering roadmap, lead modernization initiatives for legacy systems, and support the growth of engineering talent within the USRM DAE organization.

Responsibilities will include: 

  • Provide USRM Data Domain knowledge across the Business Delivery Solutions Engineering organization.
  • Provide SME expertise to increase understanding of historical data content, application code, and business processes within the squads.
  • Mentor and coach team members as servant leaders across a cross-functional, multi-team organization; provide guidance to delivery squads for training and other learning opportunities.
  • Define data sourcing and solutioning recommendations to ensure proposed epics/features are actionable as squads receive them.
  • Align business questions from the Data Office and other stakeholders to future-state architecture principles and the roadmap.
  • Make the data strategy real for teams by applying appropriate tools and patterns to individual use cases.
  • Orchestrate data solutions that are scalable, reusable, and minimize development costs across business domains.
  • Continually contribute to the evolution of our modern data architecture roadmap and strategy based on new and emerging technology needs.
  • Establish, share, and align best practices emerging across squads throughout the BDSE organization.
  • Possess expert-level understanding of business operations and key decisions within a business process; develop technology-enabled recommendations and process improvements that address complex technology gaps.
  • Define and lead engineering excellence guidelines and best-practice safeguards.
  • Design and build complex data provisioning workflows/pipelines, physical data schemas, extracts, transformations, data models, and integrations.
  • Design and build complex data architectures and applications that enable reporting, analytics, data science, and data management, improving accessibility, efficiency, governance, processing, and data quality.
  • Ensure data solutions are simple, modular, flexible, extensible, scalable, and performant.
  • Apply machine learning concepts to work where applicable.
  • Develop and execute cutover and transition plans for areas of responsibility; assist in post-implementation support, resolve issues, raise defects as appropriate, and transition knowledge and ownership to other resources/teams.
  • Make and execute recommendations to improve process efficiency and effectiveness.
  • Demonstrate strong technical architecture and leadership skills with the ability to handle multiple activities in a dynamic environment.

Qualifications:

  • 12+ years of hands-on data design and development experience at least 3 of which should be in a technical leadership role.
  • Demonstrated experience defining, architecture roadmaps, business cases and implementations for data solutions.
  • Strong understanding of data warehousing, modern Cloud / Hybrid data architecture concepts.
  • In-depth knowledge of data concepts, strategies and methodologies. In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
  • Knowledge of a variety of data platforms: relational data, XML, Data Lakes, unstructured data solutions.
  • Well versed in data governance, information management frameworks; Understanding of Data management, relational databases and reference data management would be essential.
  • Understanding of data modeling techniques; ability to lead and contribute to incremental and iterative modern data architecture.
  • Perform data research / profiling and applies recommendation to solution design.
  • Ability to balance support of legacy solutions with delivery of new business capabilities.
  • Strong leadership, communication and collaboration skills with track record of taking solution ownership and accountability.
  • Experience with modern engineering practices, cloud computing (AWS), Gen AI and development using micro services architecture is a strong plus.
  • Experience working with Agile methodologies (Scrum, Lean Startup, XP) and cross-functional teams (Product Owners,Scrum Masters, Developers, Designers, Business Analysts)
  • Ability to adhere to guidelines and standards while innovating and contributing to evolution of those standards.
  • Advanced negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly
  • Advanced oral and written communication skills; strong presentation skills
  • Ability to effectively collaborate with all levels of the organization.
  • Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style

Highly competitive applicants will have the following:

  • Highly experienced and working knowledge of Snowflake, Informatica IDMC, AWS.
  • Demonstrated experience defining data architecture roadmaps and strategies.
  • In-depth knowledge of insurance lifecycle and operations
  • Guidewire experience is a plus.
Qualifications
  • 12+ years of hands-on data design and development experience at least 3 of which should be in a technical leadership role.
  • Demonstrated experience defining, architecture roadmaps, business cases and implementations for data solutions.
  • Strong understanding of data warehousing, modern Cloud / Hybrid data architecture concepts.
  • In-depth knowledge of data concepts, strategies and methodologies. In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
  • Knowledge of a variety of data platforms: relational data, XML, Data Lakes, unstructured data solutions.
  • Well versed in data governance, information management frameworks; Understanding of Data management, relational databases and reference data management would be essential.
  • Understanding of data modeling techniques; ability to lead and contribute to incremental and iterative modern data architecture.
  • Perform data research / profiling and apply recommendation to solution design.
  • Ability to balance support of legacy solutions with delivery of new business capabilities.
  • Strong leadership, communication and collaboration skills with track record of taking solution ownership and accountability.
  • Experience with modern engineering practices, cloud computing (AWS), Gen AI and development using micro services architecture is a strong plus.
  • Experience working with Agile methodologies (Scrum, Lean Startup, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Designers, Business Analysts)
  • Ability to adhere to guidelines and standards while innovating and contributing to evolution of those standards.
  • Advanced negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly
  • Advanced oral and written communication skills; strong presentation skills
  • Ability to effectively collaborate with all levels of the organization.
  • Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style

Highly competitive applicants will have the following:

  • Highly experienced and working knowledge of Snowflake, Informatica IDMC, AWS.
  • Demonstrated experience defining data architecture, roadmaps and strategies.
  • In-depth knowledge of insurance lifecycle and operations
  • Guidewire experience is a plus.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. 

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits  Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.  Fair Chance Notices 

  • California 
  • Los Angeles Incorporated 
  • Los Angeles Unincorporated 
  • Philadelphia 
  • San Francisco 
Employment Type: FULL_TIME