Data Engineer with Python and SQL Expertise
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Salary:
$180,000
- 208,000 per year
Requirements:
7+ years of experience in designing and building intricate data processing pipelines and streaming solutions. Familiarity with big data solution design and tools, including Hadoop and Spark. Strong proficiency in relational SQL databases, particularly Amazon Redshift. Practical experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or AWS CDK. Knowledge of containerization services like EKS and ECR. In-depth understanding of AWS services including EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, QuickSight, Config, Security Hub, and Inspector. Proven track record in designing, building, and implementing high-performance APIs and programs using established architectural frameworks and guidelines. Proficiency in UNIX/Linux operating systems. Bachelors degree in Information Technology or a related field, or equivalent practical experience. AWS certifications are preferred.
Responsibilities:
Develop, improve, and resolve complex data engineering, visualization, and integration functionalities using AWS services such as Python, R, Lambda, Glue, Redshift, EMR, QuickSight, and SageMaker. Provide technical guidance and collaborate with software developers, data engineers, database architects, analysts, and data scientists to ensure alignment of data processing architecture across projects. Participate in peer code reviews, support database defects, enhance security, manage vulnerabilities, and occasionally provide backup production support. Utilize DevOps skills to create and implement Infrastructure as Code, Configuration as Code, software, and cloud-native capabilities while adhering to change management protocols. Work closely with the product owner and engineering team to ensure technology solutions align with business objectives and vision. Technologies: AWS Lambda Redshift Ansible Big Data Cloud DevOps EC2 Hadoop Support Linux Product Owner Python SQL Security Spark Terraform Unix AI API More: We are seeking a Data Engineer to establish cloud-native data processing for our AWS-based analytics platform. This position requires a hybrid work setup, with local candidates preferred to work onsite 2-3 days a week in St. Louis, MO, or visit approximately every two months for 3 days if non-local. Our organization emphasizes collaboration among engineering, analytics, and data science teams while applying DevOps practices for secure delivery and operational excellence.
We offer
an enticing benefits package, including Medical, Dental, and Vision insurance, a 401k plan with company matching, and life insurance options. last updated 40 week of 2026
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