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Data Engineer w/ Python & SQL jobs in United States
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ShiftCode Analytics, Inc. · 3 months ago

Data Engineer w/ Python & SQL

ShiftCode Analytics, Inc. is looking for a Data Engineer to build and maintain scalable data pipelines and cloud data infrastructure on GCP. The role focuses on BigQuery, Dataflow, and modern ETL/ELT to support analytics and ML workflows.
ConsultingBig DataInformation TechnologyAnalytics

Responsibilities

Build and optimize batch/streaming pipelines using Dataflow, Pub/Sub, Composer
Develop and tune BigQuery models, queries, and ingestion processes
Implement IaC (Terraform), CI/CD, monitoring, and data quality checks
Ensure data governance, security, and reliable pipeline operations
Collaborate with data science teams and support Vertex AI–based ML workflows

Qualification

PythonSQLGCPData pipelinesETL/ELTBigQueryDataflowData modelingCloud platformsProblem solving

Required

A problem solver with ability to analyze and research complex issues and problems; and proposing actionable solutions and/or strategies
Solid understanding and hands on experience with major cloud platforms
Experience in designing and implementing data pipelines
Must have strong Python, SQL & GCP skills
Build and optimize batch/streaming pipelines using Dataflow, Pub/Sub, Composer
Develop and tune BigQuery models, queries, and ingestion processes
Implement IaC (Terraform), CI/CD, monitoring, and data quality checks
Ensure data governance, security, and reliable pipeline operations
Collaborate with data science teams and support Vertex AI–based ML workflows
3–5+ years of data engineering experience
Hands-on GCP experience (BigQuery, Dataflow, Pub/Sub)
Solid ETL/ELT and data modeling experience

Preferred

GCP certifications, Spark, Kafka, Airflow, dbt/Dataform, Docker/K8s

Company

ShiftCode Analytics, Inc.

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ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best and quick services to its clients nationwide.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase