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Data Solutions Developer Jobs (NOW HIRING)

Tixy Services LLC

Data Solution Engineer

Dallas, TX · On-site

Data Solutions Engineer Location: Hybrid (3 Days Onsite) - Rochester, NY / Pennsylvania / Dallas ... & DevOps Engineering * Experience designing, deploying, and managing cloud-native solutions on ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134K - $161K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Motorola

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

NxT Level

Data Solutions Engineer

Boston, MA · Hybrid

$124K - $149K/yr

... AI, data, and platform capabilities that enable global scale and business transformation. Their platform engineering organization is responsible for architecting robust, reusable solutions that ...

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

Collaborate closely with product managers and other engineers to understand business priorities, business workflows, and architect data solutions. * You will go well beyond bespoke tables to solve ...

Motorola

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

Pattern Data

Data Solutions Analyst

Pittsburgh, PA

$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 ...

Pattern Data

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 ...

Motorola

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning ...

Motorola

AI Solutions Developer

Washington, DC

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

Continental

AI Solutions Developer

AL · On-site

AI Solutions Developer About Continental: Continental Aerospace Technologies™ has been a leader ... Working knowledge of SQL for data access, reporting, workflow automation, and business process ...

Motorola

AI Solutions Developer

Three Rivers, MI

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

Motorola

AI Solutions Developer

California, MD

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

Motorola

AI Solutions Developer

Florida, NY

$70K - $80K/yr

Partner collaboratively with Salesforce IT, data owners, and cross-functional AI teams when ... developers, and technical SMEs for solution scaling. * Outstanding analytical skills with the ...

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All JobsData Solutions Developer Jobs

Data Solutions Developer information

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 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.

What is a data solutions developer?

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.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Which IT job is the highest paid?

Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) are among the highest-paid IT roles, often earning six-figure salaries or more due to their leadership responsibilities and strategic influence. Specialized roles such as solutions architects, cloud engineers, and cybersecurity executives also command high compensation, especially with advanced certifications and extensive experience.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles such as data architects, machine learning engineers, and data science directors also command high compensation, especially with advanced skills in analytics, programming, and cloud platforms.
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What job categories do people searching Data Solutions Developer jobs look for? The top searched job categories for Data Solutions Developer jobs are:
Data Solutions Developer jobs near you
Infographic showing various Data Solutions Developer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Solution Engineer

Tixy Services LLC

Dallas, TX • On-site

Other

Posted 21 days ago

Job description

Job Title: Data Solutions Engineer

Location: Hybrid (3 Days Onsite) – Rochester, NY / Pennsylvania / Dallas, TX / Ohio
Employment Type: Long-Term Contract

Job Summary

We are seeking a highly skilled Data Solutions Engineer to join our engineering team and design, build, and support modern cloud-based data solutions. The ideal candidate will possess a strong engineering mindset, thrive in a collaborative environment, and have deep expertise in at least one of the following domains: Data Platform & Databricks Administration, Azure Cloud & DevOps Engineering, or Advanced Python Application Development.

This role requires an individual who is passionate about building scalable, secure, and production-ready solutions while collaborating across engineering, security, and platform teams.

Key Responsibilities
  • Design, develop, and maintain scalable cloud-based data solutions and platforms.
  • Collaborate with engineering, security, and infrastructure teams to deliver secure and compliant solutions.
  • Build, optimize, and support production data pipelines and enterprise applications.
  • Participate in platform monitoring, incident response, troubleshooting, and operational support.
  • Automate infrastructure, deployments, and operational processes using modern DevOps practices.
  • Ensure platform reliability, scalability, security, and performance.
  • Continuously evaluate and implement new technologies and engineering best practices.
  • Contribute to architecture discussions and technical design decisions.
Required Qualifications
  • Bachelor''s degree in Computer Science, Engineering, Information Technology, or a related field.
  • Strong ownership mindset with the ability to work independently in a fast-paced engineering environment.
  • Excellent communication and cross-functional collaboration skills.
  • Experience supporting production environments and enterprise applications.
  • Ability to quickly learn new technologies and adapt to evolving business needs.
Technical Expertise

Candidates should have strong experience in at least one of the following areas:

Option 1: Data Platform & Databricks Administration
  • Strong background in Data Engineering and cloud data platforms.
  • Experience designing, developing, and supporting scalable data pipelines.
  • Hands-on administration of Databricks, including:
    • Workspace configuration
    • Cluster management
    • Access control and security
    • Data governance
    • Performance tuning and optimization
Option 2: Azure Cloud & DevOps Engineering
  • Experience designing, deploying, and managing cloud-native solutions on Microsoft Azure.
  • Hands-on expertise with:
    • Azure App Services
    • Azure Container Apps
    • CI/CD pipeline implementation
    • Terraform (Infrastructure as Code)
    • Docker and container deployment
    • Linux administration
    • Azure platform engineering and cloud operations
Option 3: Advanced Python Application Development
  • Strong experience building enterprise-grade applications using Python.
  • Experience developing REST APIs and automation frameworks.
  • Hands-on expertise with:
    • Docker and containerized applications
    • Modern deployment practices
    • API development
    • Application automation
    • AI/ML exposure or integration with AI technologies is highly desirable
Preferred Skills
  • Experience working with Azure cloud services and modern DevOps methodologies.
  • Knowledge of container orchestration and cloud-native architectures.
  • Familiarity with Infrastructure as Code (Terraform) and CI/CD automation.
  • Experience supporting production environments and platform operations.
  • Understanding of security best practices, governance, and compliance.
Key Competencies
  • Data Engineering & Cloud Solutions
  • Azure Cloud & Platform Engineering
  • Databricks Administration
  • Python Application Development
  • DevOps & Infrastructure Automation
  • Cross-Functional Collaboration
  • Production Support & Incident Response
  • Problem Solving & Technical Leadership
  • Ownership Mindset & Continuous Learning

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