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Mid Level - Data Analytics Cloud Engineer

C4 Technical Services

Grand Rapids, Michigan • Today

Easy Apply

Contract

Depends on Experience

Software Engineer - Cloud/GovCloud (Mid level - Top Secret - Remote US)

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 167,644.00 per year

Cloud Platform Engineer / Mid Level / Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$80000 - $120000

Mid-Level Support Engineer

MRoads

Remote • 9d ago

Easy Apply

Contract

45 - 50

DevSecOps Engineer (Mid level - Top Secret - Remote US)

ICF International, Inc.

Remote or Reston, Virginia • 2d ago

Full-time

USD 89,649.00 - 184,409.00 per year

DevSecOps Engineer (Mid level - Top Secret - Remote US)

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 89,649.00 - 184,409.00 per year

Mid Level MLOps (Machine Learning Engineer)

Zyxware Technologies

Remote • 10d ago

Easy Apply

Full-time

Depends on Experience

Data Analytics Engineer II

Mercury Insurance

Remote • Today

Full-time

USD 94,458.00 - 179,048.00 per year

System Engineer II (Cloud)

Accuity

Remote • Today

Full-time

USD 95,000.00 - 125,000.00 per year

Data Analyst II

Goldbelt Inc

Remote • Today

Full-time

USD 85,000.00 - 105,000.00 per year

Cloud Infrastructure Engineer (Enterprise Information Technology Engineer I/II)

City of San Jose

Remote or San Jose, California • Today

Full-time

USD 134,643.60 - 164,062.08 per year

Intermediate Cloud / Artificial Intelligence (AI) Developer - Remote

DivIHN Integration Inc.

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

Cloud AI Developer /Google Cloud Platform Java Developer - Senior/Intermediate/Junior

isolve technology inc

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

Summary

Mid Level - Data Analytics Cloud Engineer
Duration: 12/31/2026 (Extension Likely)
Location: Remote

This 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.

What You''ll Do:

Build ingestion jobs that move device, activity, and history events from existing streams into the data lake, written to the agreed format and partition layout.
Implement 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.
Write and tune SQL queries that hit partitions instead of scanning everything, plus the views and tables behind commonly asked questions.
Build dashboards and datasets for product, engineering, and support — activation, connectivity health, feature adoption, rollout progress, notification delivery — and keep refreshes working.
Add the AWS resources your work needs in code, following the existing stack, naming, tagging, and IAM patterns rather than inventing new ones.
Write 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.
Run and verify backfills and reprocessing carefully, including duplicates, late-arriving records, and the cost of a job that reads more than it needs to.
Take part in code review in both directions, take architectural direction from senior engineers, and raise gaps or ambiguous requirements early rather than guessing.

What You''ll Bring:

3+ years building data pipelines or analytics systems on AWS, with hands-on S3, Athena, and DynamoDB experience.
Strong SQL — joins, window functions, aggregation over large event tables — and the habit of checking what a query actually scans before shipping it.
Working knowledge of columnar storage and partitioning: why Parquet beats JSON, how partition keys shape query cost, and what small files do to performance.
Hands-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.
Experience consuming streaming or queued data (Kinesis, Firehose, SQS, Kafka, or equivalent) and handling retries, duplicates, and out-of-order records properly.
Exposure to infrastructure as code — CDK, CloudFormation, or Terraform — and a basic grasp of IAM, KMS, and least-privilege access.
Experience 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.
Clear written communication, the habit of surfacing blockers early, and the curiosity and adaptability to grow with the team.

Preferred Qualifications:

Experience with the Glue Data Catalog, Glue jobs, dbt, Step Functions, Airflow, or open table formats such as Iceberg on Athena.
Prior work with IoT or connected-device telemetry — device state, connectivity, firmware and OTA reporting — or other high-volume event data.
Familiarity with Go modules and monorepo workflows, or with OpenSearch, Prometheus, Loki, or OpenTelemetry.
Awareness of consumer data privacy requirements: deletion requests, PII minimization, and access-scoped analytics.
Comfort using AI-assisted development tools to move faster without shipping code or queries you can''t explain.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10529458
Position Id: 25613
Posted 12 hours ago

Fitment

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Temp to Permanent - Redshift Dynamo data analytics AI subject matter expert senior data engineer.

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U.S. citizen or permanent resident Contract to Perm Remote Team: Team is Intel delivery platform and Cumulus - lots of data exchanges: AWS platform using Redshift as data warehouse - Dynamo of meta-data. They are working on evolving code for digital products and need a dynamic Senior Data engineer who will also design, build and write test automation. Profile: Senior Data Engineer with SME in data analytics end AI work within our tech stack; 5+ years of experience. TECHNICAL SKILLS Must Have

Full-time

Job Details

Skills

Summary

Build ingestion jobs that move device, activity, and history events from existing streams into the data lake, written to the agreed format and partition layout.
Implement 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.
Write and tune SQL queries that hit partitions instead of scanning everything, plus the views and tables behind commonly asked questions.
Build dashboards and datasets for product, engineering, and support — activation, connectivity health, feature adoption, rollout progress, notification delivery — and keep refreshes working.
Add the AWS resources your work needs in code, following the existing stack, naming, tagging, and IAM patterns rather than inventing new ones.
Write 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.
Run and verify backfills and reprocessing carefully, including duplicates, late-arriving records, and the cost of a job that reads more than it needs to.
Take part in code review in both directions, take architectural direction from senior engineers, and raise gaps or ambiguous requirements early rather than guessing.

What You''ll Bring:

3+ years building data pipelines or analytics systems on AWS, with hands-on S3, Athena, and DynamoDB experience.
Strong SQL — joins, window functions, aggregation over large event tables — and the habit of checking what a query actually scans before shipping it.
Working knowledge of columnar storage and partitioning: why Parquet beats JSON, how partition keys shape query cost, and what small files do to performance.
Hands-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.
Experience consuming streaming or queued data (Kinesis, Firehose, SQS, Kafka, or equivalent) and handling retries, duplicates, and out-of-order records properly.
Exposure to infrastructure as code — CDK, CloudFormation, or Terraform — and a basic grasp of IAM, KMS, and least-privilege access.
Experience 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.
Clear written communication, the habit of surfacing blockers early, and the curiosity and adaptability to grow with the team.

Preferred Qualifications:

Experience with the Glue Data Catalog, Glue jobs, dbt, Step Functions, Airflow, or open table formats such as Iceberg on Athena.
Prior work with IoT or connected-device telemetry — device state, connectivity, firmware and OTA reporting — or other high-volume event data.
Familiarity with Go modules and monorepo workflows, or with OpenSearch, Prometheus, Loki, or OpenTelemetry.
Awareness of consumer data privacy requirements: deletion requests, PII minimization, and access-scoped analytics.
Comfort using AI-assisted development tools to move faster without shipping code or queries you can''t explain.

Dice Id: 10529458
Position Id: 25613
Posted 12 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AWS Cloud Data Engineer

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Temp to Permanent - Redshift Dynamo data analytics AI subject matter expert senior data engineer.

No location provided

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