Senior Data Engineer - Remote ETL & Big Data Architect

MNJ SOFTWARE; Kansas; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Reimbursement: Best in Industry

Job summary

MNJ SOFTWARE is seeking a Senior Data Engineer specializing in ETL, Big Data, and Hadoop to join their remote team. The position focuses on designing and implementing data engineering solutions while leading projects and collaborating with clients.

Ideal candidates will have over 5 years of experience in cloud environments (AWS or Azure) and a strong background in data engineering, streaming services, and building ETL pipelines. Competitive industry benefits and flexible working hours are offered.

Qualifications

• 5+ years of experience leading client-facing projects.
• Experience working on cloud projects (AWS or Azure).
• Strong experience with streaming architectures and tools.
• Familiarity with ETL data pipelines and modeling.
• High-level analytical and independent problem-solving abilities.

Responsibilities

• Design, develop, and implement architectural deliverables for projects.
• Lead data engineering efforts, collaborating with clients on data needs.
• Implement data integration strategies and methods.
• Acquire and process data from multiple systems into Big Data platforms.
• Manage cloud data environments effectively.
• Work with Data Science teams to achieve optimal solutions.
• Maintain and build operational ETL pipelines.
• Embed automated data quality checks into processes.

Skills

Data engineering

Cloud projects (AWS or Azure)

Streaming architectures (Kafka, Kinesis, Flink)

ETL pipelines

DevOps/DataOps tools (Jenkins, Kubernetes, Docker, Terraform)

Data warehousing (Snowflake, Azure DW, Redshift)

Analytical skills

Problem-solving skills

Education

ME, M-Tech, BE, B-Tech, MCA, M.Sc.(IT) or equivalent

Tools

Apache Airflow

Griffin

Job description

MNJ SOFTWARE is seeking a Senior Data Engineer specializing in ETL, Big Data, and Hadoop to join their remote team. The position focuses on designing and implementing data engineering solutions while leading projects and collaborating with clients.

Ideal candidates will have over 5 years of experience in cloud environments (AWS or Azure) and a strong background in data engineering, streaming services, and building ETL pipelines. Competitive industry benefits and flexible working hours are offered.