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About the Role

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.

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.

Requirements

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 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.

Skills

Python
Java
Scala
SQL
Apache Spark
Hadoop
Hive
Kafka
ETL/ELT
Data Integration
Relational Databases
NoSQL Databases
Cloud Data Platforms
Data Warehouses
Data Modeling
Performance Tuning
Data Quality
AWS
Microsoft Azure
Google Cloud Platform
AWS EMR
Azure Databricks
Google Cloud Dataproc
Apache Airflow
Delta Lake
Git
Docker
CI/CD
Automated Testing
Data Governance
Data Security
Data Privacy

Location

Austin, TX
Dallas, TX
Seattle, WA
Chicago, IL
New York, NY

Work Type

Full-Time
Remote
Hybrid
On-site

Experience Level

2–8 Years
2–3 Years
3–5 Years
5–8 Years

Education Level

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
Equivalent professional experience
Relevant certifications
Demonstrated technical skills

Salary/Compensations

$85,000–$160,000
$85,000–$105,000
$100,000–$130,000
$125,000–$160,000

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.

Equal Opportunity

We welcome qualified applicants from diverse backgrounds.
Candidates must meet the applicable US work authorization requirements for the position.