Entry Level Data Engineer

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Entry Level Data Engineer

ASTRIKCODERS

September 27, 2026

Location: Houston, Texas, US
Salary: Depends
Job Type: Full-Time
Seniority Level: Entry-Level

Job Description

AstrikCoders is looking for a skilled and motivated Data Engineer to join our growing technology team. The ideal candidate will be responsible for designing, developing, maintaining, and optimizing scalable data pipelines and data infrastructure.

The candidate should have hands-on experience with Python, SQL, ETL/ELT, databases, data warehousing, cloud platforms, and data pipeline development.

Key Responsibilities:

  1. Design, develop, and maintain scalable data pipelines.
  2. Build reliable ETL/ELT workflows for processing and transforming data.
  3. Extract, clean, transform, and load data from multiple sources.
  4. Develop and optimize complex SQL queries.
  5. Work with relational and NoSQL databases.
  6. Design and maintain data warehouses and data lakes.
  7. Develop data integration solutions and automated workflows.
  8. Monitor data pipelines and troubleshoot data quality or performance issues.
  9. Implement data validation, quality checks, and governance processes.
  10. Optimize data processing and storage for performance and scalability.
  11. Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
  12. Document data pipelines, workflows, schemas, and technical processes.

Required Skills:

  1. Python
  2. SQL
  3. ETL / ELT
  4. Data Pipelines
  5. Data Warehousing
  6. Database Management
  7. PostgreSQL / MySQL / SQL Server
  8. Apache Spark / PySpark
  9. Git / GitHub
  10. Data Modeling
  11. API & Data Integration

Cloud & Big Data Skills:

Experience with one or more of the following is preferred:

AWS | Azure | Google Cloud | Databricks | Snowflake | BigQuery | Redshift | Azure Data Factory | AWS Glue | Apache Airflow

Good to Have:

  1. Docker
  2. Kubernetes
  3. Kafka
  4. Terraform
  5. CI/CD
  6. dbt
  7. Hadoop
  8. Machine Learning data pipelines
  9. Cloud data engineering certifications

Who Can Apply:

Freshers, recent graduates, and experienced professionals with relevant Data Engineering projects, internships, certifications, or practical experience are encouraged to apply.

Candidates with backgrounds in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, Statistics, or related fields are welcome.

Location: Remote / Hybrid / On-site depending on project requirements

Employment Type: Full-Time / Contract

Requirements & Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Build reliable ETL/ELT workflows for processing and transforming data.
  • Extract, clean, transform, and load data from multiple sources.
  • Develop and optimize complex SQL queries.
  • Work with relational and NoSQL databases.
  • Design and maintain data warehouses and data lakes.
  • Develop data integration solutions and automated workflows.
  • Monitor data pipelines and troubleshoot data quality or performance issues.
  • Implement data validation, quality checks, and governance processes.
  • Optimize data processing and storage for performance and scalability.
  • Collaborate with Data Analysts, Data Scientists, Software Engineers, and business teams.
  • Document data pipelines, workflows, schemas, and technical processes.