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Open nowPosted 14 hours ago

Big Data Developer

edgeqtechnologies37 open roles

Pay
$85,000 – $160,000 a yearly
Where
Chicago, IL
Work mode
On site
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Your applicationOpen nowBig Data Developeredgeqtechnologies · Chicago, IL
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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. edgeqtechnologies postings stay open a median of 2 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 14 hours ago

edgeqtechnologies median: 2 days open

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.

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