1

Data Developer Jobs (NOW HIRING)

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS Secondary Skillset : Python, Kafka Common data archetypes, writing and coding functions, algorithms, logic ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

They are seeking an experienced Data Developer to design, develop, and maintain their data platform, enabling data-informed decision-making and supporting various business systems. Responsibilities ...

Big Data Developer

Glendale, CA · On-site

$56.25 - $72.75/hr

Skill Big Data Developer Java Hadoop DaaS Java Hadoop / Hive / MapReduce / Pig / Sqoop / Flume SQL XML JSO Location Glendale, CA Total Experience 3 yrs. Max Salary Not Mentioned Employment Type ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka Provide thought leadership for the MFS data platform team and collaborate with cross ...

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross ...

Big Data Developer

Washington, DC · On-site

$86 - $91/hr

The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self ...

Senior Data Developer

Irving, TX · Hybrid

$66 - $70/hr

Senior Data Developer This role is currently on a hybrid schedule. You will need to have reliable internet, computer and android or iphone for remote access into the client systems during remote work.

BI/Data Developer

Framingham, MA · On-site +1

$56 - $67/hr

BI/Data Developer - Mid-Level Location: Framingham, MA Onsite Flexibility: Hybrid (Fully remote, or if local talent, Tues and Wed in office) Contract Details * Position Type: Contract (Open to ...

next page

Showing results 1-20

Data Developer information

See salary details

$26

$53

$80

How much do data developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for data developer in the United States is $53.12, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $60.10 per hour, depending on experience, location, and employer.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Developer jobs
What cities are hiring for Data Developer jobs? Cities with the most Data Developer job openings:
What states have the most Data Developer jobs? States with the most job openings for Data Developer jobs include:
Infographic showing various Data Developer job openings in the United States as of May 2026, with employment types broken down into 13% As Needed, 68% Full Time, 3% Part Time, 5% Temporary, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $110,489 per year, or $53.1 per hour.

$52.50 - $68.25/hr

Full-time

Posted 18 days ago


Job description

Big Data Developer
Austin, TX (Day 1 onsite) - Full-time
Primary Skillset: Spark, Scala, AWS
Secondary Skillset : Python, Kafka
Job Description:
Common data archetypes, writing and coding functions, algorithms, logic development, control flow, object-oriented programming languages, external libraries and how to collect data from different sources.
This includes having knowledge of scraping, application program interfaces, databases, and publicly available repositories.
Structured data, such as from relational database management systems, and spreadsheets; semi structured data, such as log files, Extensible Markup Language and JavaScript Object Notation; and unstructured data, such as text, video, audio, and images.
Relational databases and NoSQL databases, such as Apache Hadoop, Apache Spark and other MPP databases.
SQL-based querying of databases using joins, aggregations, and subqueries.
Open-source tools, including real-time data processing products, such as Apache Beam, Kafka, and Spark Structured Streaming; time series databases, such as Influx DB; relational databases, such as Postgres; graph databases, such as Neo4j; and software development environments, such as Git and GitHub.
Abstraction tools, such as Kubernetes.
Mastery of computer programming and scripting languages, such as Scala, Java or Python, as well as an ability to create programming and processing logic.
Experience with machine learning algorithms and automated machine learning to automate and build continuous learning data processing streams and pipelines.
Data warehousing tools and techniques, such as Apache Hive.
Knowledge of cloud platform particularly AWS is also needed.