Big Data Engineer
Fa Etqo Saasfaprod1 Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Fa Etqo Saasfaprod1. United States · no salary stated · we estimate $112,500–$160,000 across the United States.
Fa Etqo Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and operate Python and PySpark data pipelines on AWS Glue, then coordinate their workflows with Step Functions and Lambda
- Connect systems through SNS and SQS, and shape storage and query solutions across Redshift, RDS, Oracle and S3
- Write SQL for data changes, checks and reporting; bring in API data and handle structured or semi-structured JSON
- Add data quality checks and monitoring, support production operations, and take part in CI/CD and release work
- Turn business needs into technical designs with partner teams, while improving pipeline performance and near-real-time processing
What you bring
- At least eight years of software development experience on the relevant platform
- Strong practical skills in Python, PySpark, APIs and SQL, plus experience building ETL pipelines and orchestrating workflows
- Working familiarity with AWS services such as Glue, Lambda, Step Functions, Redshift, S3, SNS and SQS
- A bachelor's degree in IT, computer science, business administration or a related area
Who this fits
This role suits a mid-level data engineer comfortable with AWS data pipelines, production support and stakeholder communication. You should be ready to work on performance-sensitive pipelines and near-real-time systems.
From the employer
Build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms.
Orchestrate workflows using AWS Step Functions and Lambda. - Implement messaging and event-driven integrations using SNS and SQS. Design and optimize storage and querying solutions in Amazon Redshift, RDS, Oracle and S3-based architectures.
Write efficient SQL for transformations, validation, and reporting. - Integrate data from APIs and process structured and semi-structured JSON data. - Implement data quality checks, monitoring, and operational support processes.
Participate in CI/CD and version control practices for deployment and release management.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
8 years of software development experience across the appropriate platform.
Strong hands-on experience with Python, PySpark, API’s and SQL.
Experience with ETL/data pipeline development and Orchestration using Step functions / AirFlow .
Working knowledge of AWS services including Glue, Lambda, Step Functions, Redshift, S3, SNS, and SQS.
Experience with Athena, EMR, Kinesis, DynamoDB, or RDS. - Good Knowledge on CloudWatch, logging, and production support.
Understanding of data warehousing, data lakes, Lake House and query optimization.
Experience with GitLab/Terraform or similar and CI/CD workflows.
Good understanding of using AI tools like Github Copilot or similar for code productivity .
Exposure to enterprise data lake or cloud migration initiatives.
Have an eye to solving complex problems, great communication with stakeholders .
Have a good understanding of performance engineering of code pipelines and near real time systems - Good understanding on Agents and MCP".
A Bachelor’s Degree in Information Technology, Computer Science, Business Administration, or a related field is required.
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