Data Engineer jobs in United States

Explore 836 matching jobs.

Foundation for California Community Colleges

Data Engineer

Foundation for California Community Colleges

Posted: 10/20/2026
Amazon RedshiftAWSCloudETLKafkaMySQLPostgresPythonScala+2 more
Avanade

Senior Data Engineering and Data Governance Architect

Avanade

Posted: 10/20/2026
AzureCloudIoTPostgresPythonSQL
Avanade

Associate Manager, Data Engineering

Avanade

Posted: 10/20/2026
AzurePySparkPythonScalaSQL
Avanade

Senior Data Engineering Architect, Fabric, Databricks, Snowflake

Avanade

Posted: 10/20/2026
AzureCloudIoTPythonSQL
Elicit

Senior Software Engineer, Data and Integrations

Elicit

Posted: 10/20/2026
PythonReactSparkSQLTypeScript
Thermo Fisher Scientific

Senior Manager, Data Engineering – Applied Data Science

Thermo Fisher Scientific

Posted: 10/20/2026
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableau+1 more
Berkshire Hathaway Homestate Companies - Workers Compensation Division

Data Platform Engineering Manager

Berkshire Hathaway Homestate Companies - Workers Compensation Division

Posted: 10/20/2026
AirflowAzureCloudETLMySQLNoSQLPostgresPythonSQL+2 more
Novartis

Associate Director – Data Engineering Lead

Novartis

Posted: 10/20/2026
Cloud
Berkshire Hathaway Homestate Companies - Workers Compensation Division

Data Platform Engineering Manager

Berkshire Hathaway Homestate Companies - Workers Compensation Division

Posted: 10/20/2026
AirflowAzureCloudETLMySQLNoSQLPostgresPythonSQL+2 more
Logicalis GmbH

Principal Architect – Data Governance

Logicalis GmbH

Posted: 10/20/2026
Cloud
Walmart

Senior Data Engineer

Walmart

Posted: 10/20/2026
AirflowCloudETLGoogle Cloud PlatformPySparkSQL
Penn Interactive

Senior Data Engineer

Penn Interactive

Posted: 10/20/2026
AirflowBigQueryPythonSQL
RevStar

Data Engineer, AI

RevStar

Posted: 10/20/2026
ApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL+2 more
UniFirst Corporation

Junior Azure Data Engineer

UniFirst Corporation

Posted: 10/20/2026
AzureETLPythonSQL
Softgic

Senior Data Engineer – IBM DB2

Softgic

Posted: 10/20/2026
AWSCloudERPETLJavaPythonSQL
Wealth.com

Senior Data Engineer

Wealth.com

Posted: 10/20/2026
AirflowAmazon RedshiftAWSCloudPythonSQL
Honeydew Health

Senior Software Engineer – Data

Honeydew Health

Posted: 10/20/2026
AWSPostgresTypeScript
Backblaze

Senior Software Engineer – Data Infrastructure

Backblaze

Posted: 10/20/2026
AnsibleChefCloudGrafanaJavaLinuxPrometheusPuppetRust+4 more
DXC Technology

Data Engineering Lead – Insurance

DXC Technology

Posted: 10/19/2026
Amazon RedshiftAWSAzureBigQueryCloudCyber SecurityETLPythonScala+2 more
Walmart

Senior Manager, Data Engineering

Walmart

Posted: 10/19/2026
AzureBigQueryCloudSQL
Foundation for California Community Colleges

Data Engineer

Foundation for California Community Colleges
Posted 10/20/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $142,000 - $145,000 per yearWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing ETL/ELT processes, utilizing advanced cloud data warehousing tools like Snowflake and SQL for data transformation and analysis. Proven ability to collaborate with cross-functional teams and communicate complex data insights effectively.

Highest-signal resume keywords
ETL/ELT Process DevelopmentAdvanced SQL ProficiencyCloud Data Warehousing ExpertiseData Pipeline AutomationData Analysis and Decision-Making

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudETLKafkaMySQLPostgresPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Lead development, maintenance, and optimization of batch and streaming ETL/ELT processes
  • Develop, refine, test, containerize, and maintain data-loading and processing workflows using event-driven architecture and workflow orchestration
  • Develop and maintain workflows in IDEs using AWS, Snowflake, Python, SQL, dbt, and shell scripts
  • Review, redesign, and expand data models supporting data warehousing and self-service business intelligence
  • Create automated data pipelines from staged or streamed data through data warehouse organization and reporting, alerts, or API access
  • Design and implement data pipeline automation integrating Salesforce, Slack, and AWS services with serverless, cloud-server, and containerized systems
  • Participate in meetings, research, requirements collection, and data analysis
  • Collaborate with project stakeholders and key collaborators
  • Develop and maintain expert knowledge of CaliforniaColleges.edu data, systems, and business processes
  • Continuously improve data pipelines and architecture by following industry trends and best practices
  • Work with the Cloud Infrastructure Team to oversee CCGI’s cloud-based data infrastructure, data warehousing, engineering, orchestration, and user-centered data products
  • Report to the Director, Cloud Infrastructure
  • Perform other duties as assigned

Requirements

What you’ll need
  • Relevant BA/BS in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
  • Minimum of three (3) years of experience as a Data Engineer or in a related role
  • Must currently live full-time in California
  • Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Advanced proficiency with cloud data warehousing and analytical tools such as Snowflake, Redshift, Spark, and Kafka
  • Expert SQL knowledge, including SQL Server, PostgreSQL, MySQL, relational databases, query authoring, and optimization
  • Advanced proficiency with ETL tools such as Jupyter Notebooks, dbt, and Talend
  • Advanced proficiency with scripting languages such as Python, Scala, and R
  • Advanced proficiency building and optimizing data pipelines and data sets
  • Successful history of manipulating, processing, and extracting value from large structured and unstructured datasets
  • Demonstrated ability to develop strong technical documentation
  • Experience working with K-12 data and/or education data is encouraged
  • Advanced certifications such as SnowPro Core, AWS Cloud Practitioner Certification, or AWS Solutions Architect - Associate are a plus
  • Strong data analysis and decision-making skills
  • Ability to advance projects without detailed supervision, prioritize tasks, and manage multiple projects simultaneously
  • Experience supporting and collaborating with cross-functional teams in a dynamic environment
  • Ability to write accurately, appropriately, and concisely in task tickets using tools like Jira
  • Excellent verbal communication skills and ability to communicate complex information to technical and non-technical audiences
  • Commitment to increasing educational access and equity
  • Must submit a cover letter and resume

Benefits

Comp & perks
  • Paid holidays
  • Sick and vacation leave
  • Medical, dental, and vision insurance
  • Employee Assistance Program
  • Defined benefit retirement plan (CalPERS)
  • 403(b) and 457(b) retirement plans
  • $50,000 Basic Life and Accidental Death and Dismemberment insurance coverage for eligible employees
  • Flexible Spending Accounts
  • Tuition Reimbursement
  • Voluntary Life Insurance
  • Pet insurance
  • Remote work from home offices
  • Occasional internal in-person meetings and local/statewide travel for required business meetings

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ETL ToolsSQL ServerPostgreSQLMySQLPythonScalaRData Pipeline OptimizationData TransformationData Structures
Soft Skills
Strong Technical DocumentationVerbal CommunicationProject ManagementCollaborationDecision-Making
Tools & Technologies
AWSSnowflakeRedshiftSparkKafkaJupyter NotebooksDbtTalendSalesforceSlack
Certifications & Qualifications
SnowPro CoreAWS Cloud Practitioner CertificationAWS Solutions Architect - Associate
Industry Keywords
Data EngineeringData WarehousingK-12 DataEducation DataData Analysis