Technology Lead - Cloud Analytics in Big Data/Hadoop Duration: FullTime / Permanent Location ... Experience in DevOps technologies preferred Understanding of market and technology trends.
Technology Lead - Cloud Analytics in Big Data/Hadoop Duration: FullTime / Permanent Location ... Experience in DevOps technologies preferred Understanding of market and technology trends.
The ideal candidate will possess deep architectural expertise in big data technologies, including ... engineers and scientists into detailed technical specifications and architectural blueprints.
The ideal candidate will possess deep architectural expertise in big data technologies, including ... engineers and scientists into detailed technical specifications and architectural blueprints.
The ideal candidate will possess deep architectural expertise in big data technologies, including ... engineers and scientists into detailed technical specifications and architectural blueprints.
The ideal candidate will possess deep architectural expertise in big data technologies, including ... engineers and scientists into detailed technical specifications and architectural blueprints.
Technology Architect | Big Data - Data Processing | Spark
Frisco, TX · On-site
$59.75 - $77/hr
Bachelor's or Master of Engineering Project Code: TMO DnR test automation
Technology Architect | Big Data - Data Processing | Spark
Frisco, TX · On-site
$59.75 - $77/hr
Bachelor's or Master of Engineering Project Code: TMO DnR test automation
Experience 5to6yrs 4.Required Skills Technical Skills- Apache Hadoop Google Cloud Platform BigQuery Big Data Management Big Data Domain Skills- 5.Nice to have skills Techincal Skills- Hadoop ...
Experience 5to6yrs 4.Required Skills Technical Skills- Apache Hadoop Google Cloud Platform BigQuery Big Data Management Big Data Domain Skills- 5.Nice to have skills Techincal Skills- Hadoop ...
GCP Data Engineer
Richardson, TX · On-site
$104K - $124K/yr
GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to ... The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data ...
Quick apply
GCP Data Engineer
Richardson, TX · On-site
$104K - $124K/yr
GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to ... The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
GCP Data Engineer
Irving, TX · On-site
$109K - $132K/yr
Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud environment, specially GCP
GCP Data Engineer
Irving, TX · On-site
$109K - $132K/yr
Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud environment, specially GCP
Data Engineer with Devops
Dallas, TX · On-site
$113K - $136K/yr
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. * 4+ years of experience in Data Engineering or Big Data development. * Hands-on experience with Python ...
Data Engineer with Devops
Dallas, TX · On-site
$113K - $136K/yr
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. * 4+ years of experience in Data Engineering or Big Data development. * Hands-on experience with Python ...
Utilize Big Query ML (BQML) for in-database predictive modeling and analytics * where appropriate. Data Pipeline Engineering: * Design, develop, and orchestrate batch and streaming data pipelines ...
Quick apply
Utilize Big Query ML (BQML) for in-database predictive modeling and analytics * where appropriate. Data Pipeline Engineering: * Design, develop, and orchestrate batch and streaming data pipelines ...
Data Engineer
Irving, TX · On-site
$125K - $140K/yr
Qualifications: • Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark ... Preferred Qualifications • CI/CD & DevOps Automation: Experience with Continuous Integration ...
Data Engineer
Irving, TX · On-site
$125K - $140K/yr
Qualifications: • Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark ... Preferred Qualifications • CI/CD & DevOps Automation: Experience with Continuous Integration ...
Bigdata Engineer
Plano, TX · On-site
$52 - $69/hr
Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required • 4 • The candidate should have performed client facing roles and possess excellent communication skills ...
Bigdata Engineer
Plano, TX · On-site
$52 - $69/hr
Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required • 4 • The candidate should have performed client facing roles and possess excellent communication skills ...
Sr. Data Engineer
Dallas, TX · On-site
$105K - $126K/yr
... big data technologies on Azure Cloud Platform. • Design and implement scalable and efficient data ... engineers and data scientists. • Provide technical guidance and support to ensure the team ...
Sr. Data Engineer
Dallas, TX · On-site
$105K - $126K/yr
... big data technologies on Azure Cloud Platform. • Design and implement scalable and efficient data ... engineers and data scientists. • Provide technical guidance and support to ensure the team ...
Cloud Data Engineer
Dallas, TX · Remote
Databricks and AWS developer/architect certifications a big plus Technical Skills: * ETL Processing/data architecture or equivalent. * Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks ...
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Cloud Data Engineer
Dallas, TX · Remote
Databricks and AWS developer/architect certifications a big plus Technical Skills: * ETL Processing/data architecture or equivalent. * Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks ...
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...
Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
The ideal candidate possesses strong PySpark development skills, experience with big data ... Data Engineering Development: * Design, develop, and test PySpark-based applications to process ...
Big Data Developer information
See Dallas, TX salary details
$18.15 - $23.53
1% of jobs
$23.53 - $28.92
0% of jobs
$28.92 - $34.30
0% of jobs
$34.30 - $39.69
1% of jobs
$39.69 - $45.07
3% of jobs
$45.07 - $50.45
20% of jobs
$50.53 is the 25th percentile. Wages below this are outliers.
$50.45 - $55.84
19% of jobs
The median wage is $57.50 / hr.
$55.84 - $61.22
22% of jobs
$64.50 is the 75th percentile. Wages above this are outliers.
$61.22 - $66.61
16% of jobs
$66.61 - $71.99
10% of jobs
$71.99 - $77.37
8% of jobs
$18
$58
$77
How much do big data developer jobs pay per hour?
As of Aug 13, 2026, the average hourly pay for big data developer in Dallas, TX is $58.61, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $65.67 per hour, depending on experience, location, and employer.
What is a big data developer?
A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.
What is a big data developer?
A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.
What are some common challenges big data developers face when integrating new data sources into existing pipelines?
A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.
What are the key skills and qualifications needed to thrive as a big data developer, and why are they important?
To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.
What is the difference between Big Data Developer vs Data Engineer?
| Aspect | Big Data Developer | Data Engineer |
|---|---|---|
| Primary Focus | Designing and developing big data applications and solutions | Building and maintaining data pipelines and infrastructure |
| Skills & Certifications | Hadoop, Spark, Java, Scala, SQL | ETL, cloud platforms, scripting, database management |
| Work Environment | Data teams, software development projects | Data infrastructure, cloud environments, data warehouses |
| Industry Usage | Tech, finance, healthcare, retail | Tech, finance, telecom, e-commerce |
While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.
More about Big Data Developer jobs
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For Big Data Developer jobs in Dallas, TX, the most frequently searched job titles are:
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The top searched job categories for Big Data Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Big Data Developer jobs?
Cities near Dallas, TX with the most Big Data Developer job openings:
$80K - $100K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted yesterday
Job description
Must Have Technical/Functional Skills
Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
Experience: Minimum 10+ years
Roles & Responsibilities
Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the banks mission-critical global markets functions.
Key Responsibilities:
Big Data Platform Engineering
• Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.
• Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
• Develop, tune, and manage Hadoop ecosystem componentsHDFS, YARN, MapReduce, Tez, Oozie/Airflow.
• Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
• Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
• Apply Delta Lake best practices including:
o optimized file management
o Z-Ordering
o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
• Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
• Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
• Collaborate closely with quants, product owners, architects, risk tech, and business users.
• Participate in agile ceremonies sprint planning, refinement, design reviews.
• Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience
• 1013 years of hands-on experience in Big Data engineering.
• Expert skills in:
o PySpark dataframe optimizations, partitioning, broadcast strategies, distributed computing.
o Kafka producer/consumer design, schema registry, streaming ETLs.
o Hadoop ecosystem HDFS, YARN, MapReduce/Tez, Oozie/Airflow.
o Hive advanced query tuning, TEZ optimization, partition/bucket management.
• Extensive hands-on experience with Databricks Lakehouse, including:
o Bronze/Silver/Gold layer modeling
o Delta Lake optimizations
o Data quality frameworks on Lakehouse
o Structured & unstructured data handling
• Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
• Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices Git, Jenkins, Bitbucket, build pipelines.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $80,000- 100,000 a year
Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
Experience: Minimum 10+ years
Roles & Responsibilities
Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the banks mission-critical global markets functions.
Key Responsibilities:
Big Data Platform Engineering
• Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.
• Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
• Develop, tune, and manage Hadoop ecosystem componentsHDFS, YARN, MapReduce, Tez, Oozie/Airflow.
• Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
• Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
• Apply Delta Lake best practices including:
o optimized file management
o Z-Ordering
o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
• Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
• Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
• Collaborate closely with quants, product owners, architects, risk tech, and business users.
• Participate in agile ceremonies sprint planning, refinement, design reviews.
• Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience
• 1013 years of hands-on experience in Big Data engineering.
• Expert skills in:
o PySpark dataframe optimizations, partitioning, broadcast strategies, distributed computing.
o Kafka producer/consumer design, schema registry, streaming ETLs.
o Hadoop ecosystem HDFS, YARN, MapReduce/Tez, Oozie/Airflow.
o Hive advanced query tuning, TEZ optimization, partition/bucket management.
• Extensive hands-on experience with Databricks Lakehouse, including:
o Bronze/Silver/Gold layer modeling
o Delta Lake optimizations
o Data quality frameworks on Lakehouse
o Structured & unstructured data handling
• Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
• Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices Git, Jenkins, Bitbucket, build pipelines.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $80,000- 100,000 a year