Data Engineer

Data Engineer

Software Finder is seeking skilled and motivated Data Engineers to join its growing Data Engineering team. This AWS-focused role involves building and managing data pipelines end to end, from ingestion and transformation to delivering reliable datasets that support business intelligence, analytics, and strategic decision-making.

The ideal candidate will have strong SQL and Python skills, practical experience with AWS data services, and a solid understanding of data modeling and workflow orchestration. The data products developed in this role will support revenue-generating systems and business analytics, with opportunities to contribute to broader software engineering initiatives.

Key Responsibilities

• Design, build, deploy, and maintain scalable ETL/ELT pipelines using AWS services.

• Ingest, process, and transform data from multiple source systems into the organization’s data warehouse.

• Write, optimize, and maintain complex SQL queries for data transformation, modeling, reporting, and analytics.

• Develop reliable data models that support business intelligence dashboards, reporting, and business analysis.

• Orchestrate data workflows using Apache Airflow, AWS Step Functions, or similar technologies.

• Monitor pipeline performance and data freshness, investigate failures, and implement sustainable solutions.

• Collaborate with Business Intelligence teams to improve data accuracy, consistency, and reliability.

• Establish effective feedback loops between Data Engineering and Business Intelligence teams to address data-quality issues.

• Identify and resolve pipeline bottlenecks, data discrepancies, and recurring operational problems.

• Improve pipeline scalability, performance, observability, and cost efficiency.

• Apply data validation and quality-control practices throughout pipeline development and maintenance.

• Use AI-assisted development tools, such as Claude Code, to support development and iteration.

• Participate in code reviews and follow established software engineering and version-control standards.

• Maintain clear technical documentation for data pipelines, models, workflows, and system dependencies.

• Support broader backend and software engineering initiatives as business and team needs evolve.

• Contribute to additional data engineering and technology-related projects as required.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related discipline.

• 2–3 years of professional experience in data engineering or a backend or software engineering role involving substantial data-related work.

• Strong SQL skills, including experience writing and optimizing complex queries.

• Proficiency in Python for data pipeline development, automation, and data processing.

• Hands-on experience with AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon Athena, and Amazon EventBridge.

• Practical experience with Apache Airflow or AWS Step Functions for workflow orchestration.

• Strong understanding of data modeling fundamentals, including normalization and dimensional modeling.

• Familiarity with Git and collaborative software development workflows.

• Ability to troubleshoot data-quality issues, pipeline failures, and performance bottlenecks.

• Strong analytical, problem-solving, and cross-functional communication skills.

• Experience with dbt for SQL-based data transformation is preferred.

• Familiarity with Terraform or other infrastructure-as-code tools is preferred.

• Experience with CI/CD pipelines using GitHub Actions, AWS CodePipeline, or similar tools is preferred.

• Experience with data monitoring, observability, and pipeline cost optimization is preferred.

• Familiarity with AI coding assistants such as Claude Code is preferred.

• Understanding of data governance, validation, and quality-control practices is preferred.

• Interest in expanding into backend or broader software engineering responsibilities is preferred.