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Data Solutions Developer Jobs (NOW HIRING)

Experience in data engineering or architecture roles, with working specifically on Azure data solutions. * Experience as a Solutions Architect. Expertise in: * Azure Data Factory (ADF) - Pipelines ...

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 ...

About Us: Barry-Wehmiller is a diversified global supplier of engineering consulting and ... The Data Solution Architect focuses on execution and delivery, helping translate architectural ...

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 ...

Data Solutions - Data Engineer

Spring, TX · On-site

$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 ...

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 ...

Data Solutions Engineer

Boston, MA · On-site

$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 ...

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 ...

Solutions Developer

Buffalo, NY · On-site

$80K - $134K/yr

Document issues and solutions; communicate incidents to their manager and team members ... Monitor data quality by following established processes, identifying inconsistencies, supporting ...

Job Title: Data Solutions Architect Location: Seattle, WA Role Overview: You are the technical ... Platform Engineering: Lead cloud data platform selection, TCO analysis, and implementation planning ...

Associate Data Solutions Engineer

OR · Remote

$114K - $137K/yr

We strive to understand the why behind our actions and bring our best selves to work every day. ----- JOB SUMMARY The Associate Data Solutions Engineer supports Higher Logic's strategic data ...

Associate Data Solutions Engineer

$117K - $140K/yr

JOB SUMMARY The Associate Data Solutions Engineer supports Higher Logic's strategic data initiatives by designing, developing, and scaling data pipelines and models that enable analytics, business ...

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the intersection of technical sales and hands-on data operations. You are the expert who takes a prospect from ...

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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, builds, and maintains data systems and applications to help organizations manage and analyze data effectively. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create scalable data solutions.

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 is the hardest field in it?

In the role of Data Solutions Developer, the most challenging fields often involve complex data integration, advanced analytics, and ensuring data security. These areas require strong technical skills, knowledge of programming languages like Python or SQL, and familiarity with cloud platforms. Staying updated with evolving technologies and certifications can also be demanding.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These positions require advanced skills in data management, analytics, and leadership, and often demand extensive experience and relevant certifications.
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Data Solutions Architect

Full-time

Posted 22 days ago


Job description

Enterprise Data Solution Architect
Atlanta, GA(Remote)
Full-time role
Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud
JD:
Required Skills & Qualifications:
  • Bachelor's or Master's degree in related field.
  • Experience in data engineering or architecture roles, with working specifically on Azure data solutions.
  • Experience as a Solutions Architect.

Expertise in:
  • Azure Data Factory (ADF) - Pipelines, Dataflows, Integration Runtime
  • Azure Databricks.
  • Proficiency in SQL for querying, data modeling, and tuning.
  • Experience with Python, PySpark, or Scala in Databricks environments.

Preferred / Nice to Have:
  • Hands-on experience with Power BI - developing dashboards, DAX, and data modeling.
  • Strong understanding of data governance, security, and metadata management.