AWS Data Engineer

Design, build, and maintain scalable ETL and data pipelines on AWS using Python/PySpark. Develop Glue/Lambda/Step Function workflows, event-driven integrations, and data lake/warehouse solutions. Tune SQL, implement monitoring/validation, support API/JSON integrations, troubleshoot operations, document and automate deployments, and mentor junior engineers. The summary above was generated by AI, * Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.

• Develop and manage workflows using Glue, Lambda, and Step Functions.
• Build event-driven integrations using SNS, SQS, and related AWS services.
• Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
• Write and tune high-performance SQL for complex transformations and reporting.
• Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
• Design and Support API-based and JSON-based integrations across internal and external systems.
• Troubleshoot operational issues, identify root causes, and implement corrective actions.
• Contribute to documentation, deployment automation, and engineering best practices.
• Collaborate with stakeholders and mentor junior team members where needed., Design, build, and maintain scalable AWS-based ETL and data pipelines using Python, PySpark, and SQL. Implement Glue, Lambda, Step Functions, and event-driven integrations (SNS/SQS). Optimize data lake/warehouse solutions (S3, Athena, Redshift), implement monitoring, validation, and error handling, support API/JSON integrations, troubleshoot operations, automate deployments, and mentor junior engineers. Top Skills: AgentsAmazon AthenaAmazon CloudwatchAmazon EmrAmazon RdsAmazon RedshiftAmazon S3Amazon SnsAmazon SqsAPIsAws BatchAws CloudtrailAws Developer ToolsAws GlueAws LambdaAws Step FunctionsCi/CdData LakeData WarehouseDynamoDBEc2EcsGitlabJSONMcpPysparkPythonSQLTerraform IDEXX

Senior Data Engineer

2 Days Ago In-Office or Remote 3 Locations 110K-130K Annually Senior level 110K-130K Annually Senior level Healthtech * Pet * Biotech Design, build, and operate production-grade near-real-time data pipelines and APIs on AWS (Kinesis, Glue/Spark, Lambda, EMR). Implement IaC and CI/CD, optimize data lakes and operational models, improve observability and reliability, and participate in on-call support. Top Skills: Api GatewayAws GlueAws KinesisAws LambdaCloudFormationDynamoDBEmrIamJenkinsJSONPythonRest ApiS3Shell ScriptingSnsSparkSqsTerraformXML Mactores

Data Engineer

23 Days Ago In-Office or Remote Mid level Mid level Database As an AWS Data Engineer, you will develop data pipelines, create data models, troubleshoot issues, and collaborate with teams while utilizing tools like PySpark and SQL. Top Skills: AirflowAmazon AthenaAmazon EmrAmazon GlueAmazon RedshiftPrestoPysparkSnowflakeSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Degree holders for the visa application process.
• 8-12 years of software development experience across the appropriate platform.
• Solid IT background and experience.
• Experience as an application developer for projects similar in scope and responsibility.
• Strong expertise in Python, PySpark, and SQL.
• Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
• Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
• Strong understanding of ETL best practices, data quality, and operational support.
• Experience with APIs, JSON, and cloud-based data integration patterns.
• Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
• Experience with DynamoDB, EC2, ECS and Batch.
• Exposure to data migration and cloud modernization programs.
• Have a good understanding of performance engineering of code pipelines and near real-time systems.
• Good understanding of Agents and MCP.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between “coding” and “engineering.”

Desired

• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish., * 8-12 years of software development experience across the appropriate platform.
• Solid IT background and experience.
• Experience as an application developer for projects similar in scope and responsibility.
• Strong expertise in Python, PySpark, and SQL.
• Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
• Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
• Strong understanding of ETL best practices, data quality, and operational support.
• Experience with APIs, JSON, and cloud-based data integration patterns.
• Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
• Experience with DynamoDB, EC2, ECS and Batch.
• Exposure to data migration and cloud modernization programs.
• Have a good understanding of performance engineering of code pipelines and near real time systems
• Good understanding on Agents and MCP

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your “Human OS” and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their “Automate Everything, Cloudify Everything” strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a “Customer Success, First and Always” environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.