The posting
Big Data Developer
Job Title: Big Data Developer Job Locations: Austin, TX; Dallas, TX; Seattle, WA; Chicago, IL; New York, NY Job Type: Full-Time Experience Required: 2–8 Years Work Mode: Remote / Hybrid / On-site, depending on employer Estimated Annual Salary: $85,000–$160,000
Job Overview
We are seeking a skilled Big Data Developer with 2–8 years of experience to design, develop, and maintain scalable data processing systems. The ideal candidate will have strong programming skills and hands-on experience with big data technologies, distributed computing, cloud platforms, and data pipeline development.
Key Responsibilities
- Design, develop, and maintain scalable big data applications and processing pipelines.
- Build ETL/ELT workflows to process structured and unstructured data.
- Develop data processing solutions using Apache Spark, Hadoop, and related technologies.
- Write optimized SQL queries and data transformation scripts.
- Integrate data from databases, APIs, and external sources.
- Develop real-time data streaming solutions using Apache Kafka or similar technologies.
- Work with AWS, Microsoft Azure, or Google Cloud Platform.
- Optimize data processing performance, scalability, and reliability.
- Collaborate with data engineers, data scientists, analysts, and software developers.
- Implement data quality checks, security controls, and monitoring.
- Troubleshoot data processing issues and maintain technical documentation.
Required Skills
- Proficiency in Python, Java, Scala, or SQL.
- Experience with Apache Spark, Hadoop, Hive, or Kafka.
- Understanding of distributed computing and big data architecture.
- Hands-on experience with ETL/ELT pipelines and data integration.
- Knowledge of relational and NoSQL databases.
- Familiarity with cloud data platforms and data warehouses.
- Experience with data modeling, performance tuning, and data quality.
- Strong analytical, problem-solving, and communication skills.
Experience Levels & Estimated Annual Salary
ExperienceEstimated Annual Salary (USD)2–3 Years$85,000–$105,0003–5 Years$100,000–$130,0005–8 Years$125,000–$160,000
Salary estimates are indicative and vary by employer, location, industry, and technical expertise.
Educational Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field preferred.
- Equivalent professional experience, relevant certifications, and demonstrated technical skills may be considered.
Preferred Qualifications
- Experience with AWS EMR, Azure Databricks, or Google Cloud Dataproc.
- Familiarity with Apache Airflow, Delta Lake, or cloud data warehouses.
- Knowledge of real-time streaming, data lakes, and distributed storage.
- Experience with Git, Docker, CI/CD, and automated testing.
- Understanding of data governance, security, and privacy standards.
Benefits
- Competitive salary and performance-based incentives.
- Health, dental, and vision insurance, where offered.
- Paid time off and company holidays.
- Professional development and certification opportunities.
- Opportunities to work on large-scale data engineering projects.
How to Apply
Interested candidates can submit their updated resume highlighting relevant big data technologies, technical skills, certifications, and project experience.
Equal Opportunity Statement: We welcome qualified applicants from diverse backgrounds. Candidates must meet the applicable US work authorization requirements for the position.



