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4mo ago

Sr Analytics Engineer

Health Care Service Corporation Richardson, TX

Richardson, TX

4mo ago Closed

$93k - $168k/yr Full time Senior Analytics Big Data

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

The Senior Analytics Engineer at Health Care Service Corporation designs and builds data integrations to deliver Enterprise BI Data Marts and BI semantic data layers, constructs end-to-end data pipelines, and supports multiple projects within the DAS organization. This hybrid position is based in Richardson, TX with opportunities in Chicago, IL. Salary range: USD 92,700 - 167,500 per yearly.

Responsibilities

Design and implement data integrations to deliver Enterprise BI Data Marts and BI Semantic Data Layer(s).
Design and develop end-to-end data integration pipelines.
Manage multiple projects within the Enterprise Business Analytics and BI team and provide support to others within the DAS organization.
Contribute to HCSC and DAS initiatives to improve data processes, technology infrastructure, and reporting/analytic services.

Requirements

Bachelor’s degree and five years of experience, or nine years of equivalent experience with data integration platforms.
Strong technical experience in Business Intelligence Architecture and technologies.
Experience working with a data architecture team to develop or manage a universal semantic model.
Ability to work with business stakeholders to design and develop data products solutions to enable insights.
Experience working with Hadoop stack such as HDFS, Hive, Spark, PySpark/Python, Sqoop.
Experience working with MPP platforms like Teradata BTEQ, SQL, T-SQL, etc.
Experience working with Azure, ADLS, ADF, Azure SQL, etc.
Knowledge of DevOps, continuous deployment, and integration processes and tools.
Knowledge of enterprise scheduling tools such as Control-M.
Avid learner with the ability to gain a solid understanding of available data and promote innovative insights.
Strong analytical, written, and presentation skills, with the ability to source, interpret, and present analytics in a thoughtful and meaningful manner.
Proactive self-starter, quick learner, flexible team-player, able to work independently or as part of a team.
Ability to multi-task, maintain strong attention to detail, and prioritize work within tight deadlines.

Technologies

Teradata
Hadoop
HDFS
Hive
Spark
PySpark
Python
Sqoop
Databricks
Azure Cloud
ADLS
ADF
Azure SQL
Power BI
Teradata BTEQ
SQL
T-SQL
Control-M
DevOps

Preferred Qualifications

Healthcare sector experience preferred
Hands-on experience with Databricks, PySpark, and Power BI semantic model
Understanding of Databricks Assistant or Git Copilot will be helpful
Analytical thinking and problem-solving ability
Strong knowledge of SQL, analytics tools and languages to analyze large data sets from multiple data sources

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4mo ago

Data Engineer

Steel Warehouse South Bend, IN

South Bend, IN

4mo ago Closed

Full time Alation Analytics Azure Data Factory

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Steel Warehouse is expanding its data capabilities with a Data Engineer who will design, build, and optimize scalable data pipelines and architectures. This role enables the consolidation of diverse data sources, supports analytics, and fosters data-driven decision making through big data technologies and cloud platforms. The position is based onsite in South Bend, IN.

Responsibilities

Design, develop, and maintain robust ETL or ELT pipelines to ingest, transform, and load data from multiple sources
Construct and optimize data models to support analytics and reporting use cases
Ensure data quality, integrity, and reliability via monitoring, validation, and testing
Establish and support data governance practices, including data lineage, cataloging, and metadata management
Enforce data standards, naming conventions, and access controls across datasets
Collaborate with business stakeholders to define data ownership, definitions, and quality expectations
Manage and optimize data storage solutions such as data warehouses, data lakes, and lakehouses
Apply performance tuning and cost optimization strategies
Maintain documentation for data architecture, pipelines, and governance processes
Support deployment and orchestration of data workflows using modern tools
Troubleshoot and resolve data issues in a timely manner

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience working with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts including star schema and normalization
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Technologies

SQL
Python
Spark
Azure
AWS
GCP
Snowflake
BigQuery
Redshift
Fabric
Delta Lake
Microsoft Fabric
Microsoft Purview
Collibra
Alation
Airflow
Azure Data Factory

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Tuition reimbursement
Vision insurance

Education & Experience

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms (Azure, AWS, or GCP)
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts (star schema, normalization)
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Work Location

Work location: In person in South Bend, Indiana (onsite)

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4mo ago

Data Engineer

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

4mo ago Closed

$101k - $160k/yr Full time Ai Workflows Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Data Engineer role with Amazon.com Services LLC in Bellevue, WA (onsite); salary range USD 101,300 - 160,000 per year.

Responsibilities

Design and implement robust ETL/ELT pipelines using AWS big data technologies to support the Amazon Air data warehouse.
Create scalable data integration solutions that translate complex business requirements into actionable insights.
Develop and maintain high‑performance data pipelines that underpin critical business intelligence capabilities.
Proactively identify and resolve data infrastructure challenges to improve reliability and uptime.
Collaborate with cross‑functional teams to enable data driven decision making across the organization.
Contribute to the development and maintenance of AIR's GenAI infrastructure and data foundations.
Architect data architectures that support generative AI applications and LLM workflows.
Leverage GenAI tools such as Amazon Q and coding assistants to accelerate development and testing.

Requirements

2+ years of data engineering experience.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with one or more query languages: SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala.
Experience with one or more scripting languages: Python, KornShell.
Familiarity with leveraging GenAI/LLM tools to improve development productivity.

Technologies

SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell
Hadoop, Apache Spark, Informatica, ODI, SSIS, BODI, Datastage
Amazon Redshift, Amazon S3, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, AWS Lambda, IAM
Amazon Q, GenAI tools

Benefits

Health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance with option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Preferred Qualifications

Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
Experience with big data processing technology (Hadoop or Apache Spark), data warehouse architecture, infrastructure components, ETL, and reporting/analytic tools.
Knowledge of basic data schema design, including normalization and the relational versus dimensional models.
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with ETL tools such as Informatica, ODI, SSIS, BODI, Datastage, etc.

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4mo ago

Data Engineer II

Amazon Development Center U.S., Inc. Bellevue, WA

Bellevue, WA

4mo ago Closed

$132k - $179k/yr Full time Analytics AWS Aws Glue

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

The Data Engineer II role centers on building and maintaining data warehouse and data lake infrastructure and BI applications using the AWS big data stack. The position encompasses developing and managing ETLs, creating unified data models for analytics, delivering dashboards for executive insight, enabling self-serve analytics across internal users, and mentoring fellow engineers.

Location and Compensation

Location: Bellevue, WA (onsite). Salary: USD 132,100 - 178,800 per year.

Responsibilities

Design, implement, and support data warehouse and data lake infrastructure using the AWS big data stack, including Python, Redshift, QuickSight, Glue/Lake Formation, EMR/Spark/Scala, and Athena.
Develop and manage ETL/ELT pipelines to source data from diverse commercial, sales, and operational systems, establishing a unified analytics data model.
Utilize business intelligence tools such as QuickSight to create dashboards consumed by senior leadership.
Enable self-serve analytics for technical and non-technical internal customers and provide ad hoc reporting support as needed.
Develop a deep understanding of extensive data sources to determine when and which data to use to solve specific business problems.
Collaborate with Product Managers, Finance, Service Engineering Teams, and Sales Teams to support new analytics requirements on a day-to-day basis.
Manage multiple requests concurrently with prioritization as needed.
Partner with cross-functional teams to deliver outcomes and drive results.
Mentor other engineers, positively influence team culture, and contribute to team growth.

Requirements

5+ years of data engineering experience.
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

Python
Redshift
QuickSight
Glue
Lake Formation
EMR
Spark
Scala
Athena
S3
Kinesis
Firehose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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4mo ago

Data Engineer, AMZL Orbit Data Engineering

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

4mo ago Closed

$132k - $179k/yr Full time Analytics AWS Aws Glue

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Onsite in Bellevue, WA, Amazon.com Services LLC seeks a Data Engineer for the AMZL Orbit Data Engineering team, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect and deploy real-time analytics platforms using big data tools and AWS services such as Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, and DynamoDB Streams.
Develop data models, design ETL pipelines, and enable business intelligence workflows; collaborate with stakeholders to identify strategic opportunities where data infrastructure upgrades deliver substantial business impact.
Operate as a proactive contributor in a fast-paced, global team, comfortable with ambiguity, and able to think holistically while delivering precise, reliable results.

Requirements

Minimum of 3 years of data engineering experience.
Experience in data modeling, data warehousing concepts, and building end-to-end ETL pipelines.

Technologies

Hadoop
Spark
EMR
SNS
SQS
Lambda
Kinesis Firehose
DynamoDB Streams
Redshift
S3
AWS Glue
IAM roles and permissions

Benefits

Sign-on rewards and restricted stock units (RSUs).
Health coverage including medical, dental, vision, and prescription benefits.
Basic Life and AD&D insurance with optional supplemental life plans available.
Employee Assistance Program plus mental health support and a medical advice line.
Flexible Spending Accounts (FSA).
Adoption and surrogacy reimbursement programs.
401(k) plan with company matching contributions.
Paid time off and parental leave policies.

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4mo ago

Sr. Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

4mo ago Closed

$155k - $209k/yr Full time Python Senior AWS

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Amazon.com Services LLC is seeking a Senior Data Engineer to join the APIX squad in Seattle, onsite. This role centers on owning the team’s data architecture and delivering scalable, AI-ready data infrastructure across Central Lakehouse, Cortex, and CMM, while mentoring engineers and shaping governance standards. The position offers a salary range of USD 154,600 to 209,100 per year and requires a minimum of five years of data engineering experience.

Responsibilities

Own the team’s data architecture with a system-wide perspective, anticipating data access patterns and proactively removing bottlenecks across Central Lakehouse, Cortex, and CMM.
Design and deliver large-scale data solutions that are secure, maintainable, scalable, and extensible, enabling others to contribute and build on your work.
Lead architectural improvements that simplify complex data systems, addressing deficiencies where your architecture bottlenecks other teams across PXT’s 20 data lakes.
Make architectural trade-offs such as build versus buy, tiered storage strategies, and data abstraction patterns, balancing short-term needs with long-term business requirements for Amazon’s people data ecosystem.
Tackle ambiguous problems and steer technical strategy in areas where Golden Dataset onboarding, metadata enrichment, and AI contextualization require direction.
Identify and resolve complex data engineering challenges including data duplication across 264 redundant warehouses, inconsistent metric definitions, and governance gaps across federated data lakes.
Influence team technical and business strategy for PXT Data Strategy workstreams, providing context for current and future technology choices in AWS-first data platform adoption.
Build consensus when views diverge on data-architecture approaches, exercising judgment on when to leverage existing solutions versus building new capabilities.
Deliver high-impact data solutions at Amazon scale by designing scalable pipelines, ETL processes, and data abstraction layers supporting the Central Lakehouse, Cortex Data Plane APIs, and self-service CMM capabilities.
Architect solutions handling large volumes of people data across 17,000+ applications, optimizing data quality, availability, latency, security, performance, and integrity.
Reduce manual data preparation effort by 60-80% through intelligent data vending, contextualized metadata, and automated dataset onboarding workflows.
Deliver data infrastructure that enables AI-powered insights (Clarity Assist, Quick Suite integration) with over 90% query accuracy.
Drive engineering best practices and governance by setting standards for data discovery, naming conventions, operational excellence, data security, and code quality across PXT data teams.
Lead implementation of systematic governance through integration with FPDS primitives (DISAPERE, Maple, UBX), enabling policy-driven data classification, automated depersonalization, and cell-level access control.
Collaborate with AWS BDT, Security, and FPDS teams to influence roadmaps for SageMaker Unified Studio, Andes External Tables, and Quick Suite integration, addressing multiple feature gaps.
Ensure all data solutions comply with Amazon’s privacy standards, GDPR/DSAR requirements, and Red certification processes for sensitive people data.

Requirements

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Experience with big data technologies such as Hadoop, Hive, Spark, EMR
Experience operating large data warehouses

Technologies

Python
Java
Scala
NodeJS
Hadoop
Hive
Spark
EMR
Andes
Athena
Glue
Redshift
SageMaker Unified Studio
FPDS primitives (DISAPERE, Maple, UBX)
Andes External Tables
Cortex Data Plane APIs
Quick Suite
QuickSight

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Adoption and Surrogacy Reimbursement coverage
Basic Life & AD&D insurance
Option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts

About the Team

Meet the behind the scenes team that enables our Operations and Human Resource Leaders to make informed decisions. The Amazon Clarity team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight

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4mo ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

4mo ago Closed

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Data Engineer II to build and scale the data infrastructure for Amazon's North American Surface Transportation Linehaul network, designing data pipelines, analytical platforms, and AI powered tools used by operations leaders to monitor performance and drive decisions.

Location

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Design and maintain scalable data pipelines that ingest and transform operational metrics from sources like Andes, Datanet, and Redshift using SparkSQL, Cradle, and AWS services (Glue, Lambda, S3, Step Functions).
Build and extend AI powered analytical applications using AWS Bedrock, DynamoDB, and Python that generate automated performance summaries and insights.
Own data modeling for new metric onboarding, drive migration of legacy SQL workloads to modern platforms, manage infrastructure-as-code with AWS CDK across gamma and production environments, and implement monitoring, alerting, and validation frameworks to ensure pipeline reliability.
Collaborate with operations leaders and data scientists to translate business needs into data solutions that scale.

Requirements

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
3+ years of data engineering experience
Minimum experience: 1 year
1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
Experience with data modeling, warehousing and building ETL pipelines

Technologies

Andes
Datanet
Redshift
SparkSQL
Cradle
AWS Glue
AWS Lambda
Amazon S3
AWS Step Functions
AWS Bedrock
DynamoDB
Python
AWS CDK
SQL
EMR
Kinesis
Firehose
IAM (roles and permissions)

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

About the Team

NAST CX Tech sits within Amazon Transportation Services and builds the data and analytics platforms that power operational decision-making for North American Surface Transportation. Our flagship product, Cortex Scribe, is an AI-powered platform that automatically generates performance summaries, deep-dive analyses, and weekly flash reports used by operations leaders across the network. We operate at the intersection of data engineering, applied AI, and operational analytics building tools that t