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

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.

• 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.

• 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.

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.

• 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.

• 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.

• 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.

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.