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Data Developer Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

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 ...

APCO Holdings

Senior Data Developer

Westerville, OH

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 ...

APCO Holdings

Senior Data Developer

Norcross, GA

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 ...

SRI Tech solutions Inc

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 ...

SANS

Data Developer

Charlotte, NC · On-site

Develops scripts, processes, and tools to ingest, transform, and deliver data in a MS Fabric environment to support analytics and reporting needs. Lakehouse Architecture & Platform Engineering Design ...

New

APCO Holdings

Senior Data Developer

Norcross, GA

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 ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL · On-site

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 ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL · On-site

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 ...

System One

Data Developer

Falls Church, VA · On-site

Data Analyst/Developer Location: Arlington, Virginia Onsite Must be clearable Overview If interested reach out directly to kimberly.spicer@systemone.com or call/text 301-252-8762 Responsibilities

DivIHN

Senior Data Developer (Remote)

Senior Data Developer (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

SRI Tech solutions Inc

Big Data developer

Redmond, WA

$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 ...

System One Holdings, LLC

Data Developer

Falls Church, VA · On-site

$90K - $100K/yr

Data Analyst/Developer Location: Arlington, Virginia Onsite Must be clearable Overview If interested reach out directly to kimberly.spicer@systemone.com or call/text 301-252-8762 Responsibilities

System One

Data Developer

Falls Church, VA · On-site

Data Analyst/Developer Location: Arlington, Virginia Onsite Must be clearable Overview If interested reach out directly to kimberly.spicer@systemone.com or call/text 301-252-8762 Responsibilities

JConnect Infotech

Big Data Developer

Pittsburgh, PA · On-site

$49.50 - $64.25/hr

Big Data Developer Location: Strongsville OH, Pittsburgh, PA, Dallas, TX Duration: Fulltime Skill: Big Data Must Have Technical/Functional Skills: * Bigdata Hadoop & ecosystem, Scala/Python, PySpark.

New

Inherent Technologies

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 ...

System One

Data Developer

Falls Church, VA · On-site

Data Analyst/Developer Location: Arlington, Virginia Onsite Must be clearable Overview If interested reach out directly to kimberly.spicer@systemone.com or call/text 301-252-8762 Responsibilities

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DATA Developer information

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How much do data developer jobs pay per hour?

As of Jul 2, 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.

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.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

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.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, 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.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
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DATA Developer jobs near you

Big Data Developer

Futran Tech Solutions Pvt. Ltd.

Austin, TX • On-site

$52.50 - $68.25/hr

Other

Posted 15 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.

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