Data Analytics jobs in United States

Explore 4 matching jobs.

Manager, Data Analytics and Engineering

PrizePicks

Posted: 10/20/2026
AirflowAmazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud Platform+6 more
PwC

Deal Data Technology & Analytics, Experienced Associate

PwC

Posted: 10/2/2026
AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
American Family Insurance

Internal Data and Analytics Intern

American Family Insurance

Posted: 9/18/2026
Centene Corporation

Data and Analytics Intern, Undergraduate

Centene Corporation

Posted: 9/18/2026
USAA

Future Leaders Program – Data and Analytics Track

USAA

Posted: 9/17/2026
NoSQLPythonSQLTableau
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Manager, Data Analytics and Engineering

PrizePicks
Posted 10/20/2026full-timeRemote • United StatesSeniorLead💰 $215,000 - $235,000 per yearWebsite
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Core Competencies

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Core Competencies

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Demonstrates expertise in leading and mentoring Data Engineering teams while ensuring the design and operation of scalable data ingestion and transformation pipelines. Proficient in cloud data ecosystems and committed to data governance, quality, and compliance.

Highest-signal resume keywords
Data Engineering LeadershipPython ProgrammingCloud Data Ecosystems (GCP, AWS, Azure)Data Modeling and ETL/ELT PatternsStreaming Technologies (Kafka, Flink, Spark Streaming)

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSAzureBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Lead, mentor, and develop a team of Data Engineers through regular 1:1s, coaching, and performance feedback
  • Own hiring, onboarding, career development, and performance management for the team
  • Foster accountability, ownership, collaboration, and continuous improvement
  • Balance delivery expectations with sustainable team practices
  • Own the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical models
  • Ensure reliability, scalability, performance, and cost efficiency of data systems
  • Drive best practices in data modeling, data quality, observability, and operational excellence
  • Review and guide technical designs, architecture decisions, and code quality
  • Partner with platform and infrastructure teams on tooling, security, and scalability
  • Translate business and analytics requirements into scalable technical solutions
  • Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics
  • Own sprint planning, prioritization, and delivery commitments
  • Communicate progress, risks, and tradeoffs to stakeholders and leadership
  • Establish and enforce data engineering standards, patterns, and documentation
  • Support data governance, data contracts, and schema management
  • Ensure compliance with security, privacy, and data retention requirements

Requirements

What you’ll need
  • A graduate degree in Computer Science, Mathematics, or a related quantitative field.
  • 8+ years of experience in Data Engineering or related roles
  • 3+ years leading engineers (hiring, coaching, delivery accountability)
  • Strong distributed systems fundamentals (scaling, reliability, data correctness)
  • Hands-on ability in Python and/or Java
  • Experience with cloud data ecosystems (GCP - Preferred, AWS, or Azure)
  • Proficiency with SQL and at least one programming language (Python, Java, or Scala)
  • Experience with orchestration tools (Airflow, Argo, etc.)
  • Solid understanding of data modeling, ETL/ELT patterns, and data reliability
  • Experience with streaming technologies (Kafka, Flink, Spark Streaming)
  • Experience with modern data warehouses / lakehouses (BigQuery, Snowflake, Redshift, Iceberg)
  • Familiarity with analytics engineering tools (dbt, semantic layers)
  • Exposure to data governance, observability, and data quality tooling
  • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

Benefits

Comp & perks
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringPythonJavaSQLData ModelingETL/ELTData ReliabilityOrchestration Tools (Airflow, Argo)Modern Data Warehouses (BigQuery, Snowflake, Redshift, Iceberg)Analytics Engineering Tools (dbt)
Soft Skills
MentoringCollaborationCommunicationPerformance ManagementCoaching
Tools & Technologies
Cloud Platforms (GCP, AWS, Azure)Orchestration Tools (Airflow, Argo)Streaming Technologies (Kafka, Flink, Spark Streaming)Modern Data Warehouses (BigQuery, Snowflake, Redshift, Iceberg)Analytics Engineering Tools (dbt)
Industry Keywords
Data GovernanceData QualityObservabilityData ContractsSchema Management