{"schemaVersion":"jobsearcher.job.v1","id":"43aedfe875cf8e6d7874b2b2","url":"https://jobsearcher.com/jobs/43aedfe875cf8e6d7874b2b2","canonicalUrl":"https://jobsearcher.com/jobs/43aedfe875cf8e6d7874b2b2","title":"Mid Level - Data Analytics Cloud Engineer","description":"Mid Level - Data Analytics Cloud Engineer\nDuration: 12/31/2026 (Extension Likely)\nLocation: Remote\n\nThis is a hands-on, contract engineering role: you'll build and maintain the cloud pipelines that turn device and activity event data into curated tables and dashboards, working in Go and AWS alongside senior engineers who own the architecture.\n\nWhat You'll Do:\nBuild ingestion jobs that move device, activity, and history events from existing streams into the data lake, written to the agreed format and partition layout.\nImplement transforms and curated tables on top of raw event data, keeping catalog definitions in step with schemas as new device families and firmware revisions appear.\nWrite and tune SQL queries that hit partitions instead of scanning everything, plus the views and tables behind commonly asked questions.\nBuild dashboards and datasets for product, engineering, and support — activation, connectivity health, feature adoption, rollout progress, notification delivery — and keep refreshes working.\nAdd the AWS resources your work needs in code, following the existing stack, naming, tagging, and IAM patterns rather than inventing new ones.\nWrite the Go pieces the pipeline needs — stream consumers, transforms, Lambda functions, backfill jobs — with unit tests, keeping lint and the test suite green before opening a pull request.\nRun and verify backfills and reprocessing carefully, including duplicates, late-arriving records, and the cost of a job that reads more than it needs to.\nTake part in code review in both directions, take architectural direction from senior engineers, and raise gaps or ambiguous requirements early rather than guessing.\nWhat You'll Bring:\n3+ years building data pipelines or analytics systems on AWS, with hands-on S3, Athena, and DynamoDB experience.\nStrong SQL — joins, window functions, aggregation over large event tables — and the habit of checking what a query actually scans before shipping it.\nWorking knowledge of columnar storage and partitioning: why Parquet beats JSON, how partition keys shape query cost, and what small files do to performance.\nHands-on experience in at least one compiled or scripting language used for data work — Go, Python, Java, or similar — and willingness to write Go in an existing codebase.\nExperience consuming streaming or queued data (Kinesis, Firehose, SQS, Kafka, or equivalent) and handling retries, duplicates, and out-of-order records properly.\nExposure to infrastructure as code — CDK, CloudFormation, or Terraform — and a basic grasp of IAM, KMS, and least-privilege access.\nExperience building dashboards or reports someone else relies on, in QuickSight or a comparable BI tool, and the care to make the numbers correct before making them pretty.\nClear written communication, the habit of surfacing blockers early, and the curiosity and adaptability to grow with the team.\nPreferred Qualifications:\nExperience with the Glue Data Catalog, Glue jobs, dbt, Step Functions, Airflow, or open table formats such as Iceberg on Athena.\nPrior work with IoT or connected-device telemetry — device state, connectivity, firmware and OTA reporting — or other high-volume event data.\nFamiliarity with Go modules and monorepo workflows, or with OpenSearch, Prometheus, Loki, or OpenTelemetry.\nAwareness of consumer data privacy requirements: deletion requests, PII minimization, and access-scoped analytics.\nComfort using AI-assisted development tools to move faster without shipping code or queries you can't explain.","company":"C4 Technical Services","rawCompany":"c4 technical services","city":"Grand Rapids","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-22T16:41:53.225Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mid Level - Data Analytics Cloud Engineer","description":"Mid Level - Data Analytics Cloud Engineer\nDuration: 12/31/2026 (Extension Likely)\nLocation: Remote\n\nThis is a hands-on, contract engineering role: you'll build and maintain the cloud pipelines that turn device and activity event data into curated tables and dashboards, working in Go and AWS alongside senior engineers who own the architecture.\n\nWhat You'll Do:\nBuild ingestion jobs that move device, activity, and history events from existing streams into the data lake, written to the agreed format and partition layout.\nImplement transforms and curated tables on top of raw event data, keeping catalog definitions in step with schemas as new device families and firmware revisions appear.\nWrite and tune SQL queries that hit partitions instead of scanning everything, plus the views and tables behind commonly asked questions.\nBuild dashboards and datasets for product, engineering, and support — activation, connectivity health, feature adoption, rollout progress, notification delivery — and keep refreshes working.\nAdd the AWS resources your work needs in code, following the existing stack, naming, tagging, and IAM patterns rather than inventing new ones.\nWrite the Go pieces the pipeline needs — stream consumers, transforms, Lambda functions, backfill jobs — with unit tests, keeping lint and the test suite green before opening a pull request.\nRun and verify backfills and reprocessing carefully, including duplicates, late-arriving records, and the cost of a job that reads more than it needs to.\nTake part in code review in both directions, take architectural direction from senior engineers, and raise gaps or ambiguous requirements early rather than guessing.\nWhat You'll Bring:\n3+ years building data pipelines or analytics systems on AWS, with hands-on S3, Athena, and DynamoDB experience.\nStrong SQL — joins, window functions, aggregation over large event tables — and the habit of checking what a query actually scans before shipping it.\nWorking knowledge of columnar storage and partitioning: why Parquet beats JSON, how partition keys shape query cost, and what small files do to performance.\nHands-on experience in at least one compiled or scripting language used for data work — Go, Python, Java, or similar — and willingness to write Go in an existing codebase.\nExperience consuming streaming or queued data (Kinesis, Firehose, SQS, Kafka, or equivalent) and handling retries, duplicates, and out-of-order records properly.\nExposure to infrastructure as code — CDK, CloudFormation, or Terraform — and a basic grasp of IAM, KMS, and least-privilege access.\nExperience building dashboards or reports someone else relies on, in QuickSight or a comparable BI tool, and the care to make the numbers correct before making them pretty.\nClear written communication, the habit of surfacing blockers early, and the curiosity and adaptability to grow with the team.\nPreferred Qualifications:\nExperience with the Glue Data Catalog, Glue jobs, dbt, Step Functions, Airflow, or open table formats such as Iceberg on Athena.\nPrior work with IoT or connected-device telemetry — device state, connectivity, firmware and OTA reporting — or other high-volume event data.\nFamiliarity with Go modules and monorepo workflows, or with OpenSearch, Prometheus, Loki, or OpenTelemetry.\nAwareness of consumer data privacy requirements: deletion requests, PII minimization, and access-scoped analytics.\nComfort using AI-assisted development tools to move faster without shipping code or queries you can't explain.","datePosted":"2026-08-22T16:41:53.225Z","dateModified":"2026-08-22T16:41:53.225Z","hiringOrganization":{"@type":"Organization","name":"C4 Technical Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Grand Rapids","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"43aedfe875cf8e6d7874b2b2"},"url":"https://jobsearcher.com/jobs/43aedfe875cf8e6d7874b2b2"}}