Jobs
Jobs
34,834 jobs found
Loading more...
Navitus Health Services
Pharmacist, Telehealth
Burns & McDonnell
Department Manager, Operating Model & Strategy - Data & AI Function
Source: National Labor Exchange
Burns & McDonnell
Department Manager, Data Engineering & AI
Source: National Labor Exchange
Akamai Technologies, Inc.
Senior II Software Engineer Lead
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Supervisor
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Supervisor
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
The Honey Baked Ham Company, LLC
Store Associate Year-Round
Source: National Labor Exchange
HNTB
Sr Information Security Specialist
Source: National Labor Exchange
Ryder System
Truck Driver CDL A Home Daily
Source: National Labor Exchange
Burns & McDonnell
Project Manager - Substation (Midwest Region)
Source: National Labor Exchange
Honeywell
Mechanical Engineer II (5771)
Honeywell
Sr Accountant (5756)
Honeywell
RF Engineer III (5252)
Ryder System
Truck Driver CDL A Hourly Solo Regional
Source: National Labor Exchange
Burns & McDonnell
Lead Data Engineer - Google Cloud & Azure Databricks (Kansas City)
Source: National Labor Exchange
Boone County
Support Specialist - Records Unit
Boone County
Law Enforcement Services Specialist - Warrants
NORTHEAST REGIONAL MEDICAL CENTER
Ultrasound Tech
NORTHEAST REGIONAL MEDICAL CENTER
Registrar
NORTHEAST REGIONAL MEDICAL CENTER
RN Dialysis On Call PRN
CrowdStrike
Sr. Competitive Intelligence Analyst III (Remote)
Source: National Labor Exchange
DELTA AREA ECONOMIC OPPORTUNITY CORPORATION
Bus Drivers/Custodian
DELTA AREA ECONOMIC OPPORTUNITY CORPORATION
Cook
NORTHEAST REGIONAL MEDICAL CENTER
Security Officer
NORTHEAST REGIONAL MEDICAL CENTER
Radiology Technologist PRN
Yexp2020!
Delivery Driver / Delivery Associate (Part-time)
DELTA AREA ECONOMIC OPPORTUNITY CORPORATION
EHS Teachers
NORTHEAST REGIONAL MEDICAL CENTER
ICU PRN Night
Prairie Engineers, P.C.
Hydrographic Surveyor
Yexp2020!
Delivery Driver / Delivery Associate (Independence)
NORTHEAST REGIONAL MEDICAL CENTER
Chief Nursing Officer (CNO) - Kirksville, MO
NORTHEAST REGIONAL MEDICAL CENTER
Surgical Tech - PRN
Loading more...
Job ID #99439
Burns & McDonnell
Lead Data Engineer - Google Cloud & Azure Databricks (Kansas City)
location_on
Kansas City, MO
description
Summary
Description
Overview:
We're looking for a senior engineer who combines an architecture mindset with deep hands-on experience - someone who can design scalable systems and personally build and ship them into production. As our lead data engineer, you will own pipelines end-to-end across Google Cloud and Azure Databricks, from whiteboard to running code, while setting the technical direction for our enterprise data products, mentoring the team, and serving as the bridge between business stakeholders and engineering to turn strategic goals into robust, secure data solutions.
Responsibilities:
+ Architect, build, and ship scalable batch and streaming data pipelines into production using BigQuery Dataform, Google Cloud Dataflow, Confluent Kafka, and Pub/Sub.
+ Design and build data pipelines on Azure Databricks using Apache Spark, Delta Lake, and Unity Catalog, keeping engineering patterns consistent with our Google Cloud platform.
+ Manage the end-to-end data product lifecycle, serving as the technical owner for critical data assets and establishing clear service level objectives.
+ Provide technical leadership and mentorship to junior and senior engineers, conducting code reviews and fostering a culture of technical excellence.
+ Lead the engineering team across Google Cloud and Azure Databricks environments, setting multi-cloud architecture standards for data movement, interoperability, security, and cost management.
+ Partner with product managers, business analysts, and leadership to define data product requirements, align roadmaps, and manage engineering delivery schedules.
+ Define, document, and enforce data engineering standards, including CI/CD practices, robust testing frameworks, and comprehensive technical documentation.
+ Own the monitoring, cost optimization, and troubleshooting of production pipelines to maintain reliable business operations.
+ Evaluate emerging technologies, particularly generative AI integrations and advanced governance tools, to continuously improve data platform capabilities.
Qualifications
Required:
+ Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field and 8 years Required
+ Expert knowledge in programming languages and coding principles and procedures.
+ Expert in web development framework.
+ Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills.
+ Excellent verbal and written communication skills.
+ Ability to work methodically and analytically in a quantitative problem-solving environment.
+ Demonstrated critical thinking skills.
+ Expert in Microsoft Office Suite (Word, Excel, and PPT).
+ Strong attention to detail, facilitation, team building and collaboration.
+ Ability to obtain applicable certifications.
Strongly Preferred:
+ Ten or more years of experience in data engineering, data warehousing, or data architecture, with at least five years in a technical leadership, mentoring, or consulting role.
+ Deep technical expertise with Google Cloud, BigQuery, Dataflow, and related cloud data services.
+ Hands-on production experience with Azure Databricks, including Apache Spark (PySpark), Delta Lake, and Unity Catalog.
+ Proven experience architecting and leading delivery on multi-cloud data platforms, ideally spanning Google Cloud and Azure.
+ Production experience designing and deploying real-time streaming architectures using messaging platforms like Confluent Kafka or Google Pub/Sub.
+ Strong expertise in workflow orchestration using scheduling tools like Airflow.
+ Advanced SQL skills and extensive experience with transformation frameworks like Dataform or dbt.
+ Production experience with at least one transactional database, such as Oracle, SQL Server, or PostgreSQL.
+ Strong hands-on coding skills in Python or Java, with a track record of personally shipping production-grade data pipelines.
+ Demonstrated experience managing data product delivery, defining schemas, and establishing data quality baselines.
+ Strong communication skills with a proven track record of collaborating with cross-functional stakeholders and translating business needs into technical specifications.
+ Strong problem-solving abilities and experience leading engineering teams in fast-paced environments.
+ Experience coding with agentic tooling as part of generative AI workflows.
+ Direct experience implementing data mesh principles, managing data products, and using tools like Knowledge Catalog (Dataplex) or Entropy Data for contract management.
+ Advanced knowledge of data security, compliance, and governance tooling such as Immuta and native BigQuery security controls.
+ Experience operating across hybrid or multi-data platform environments, including Palantir.
+ Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
+ Databricks Certified Data Engineer Professional or Microsoft Azure data certifications, plus certifications in supporting technologies such as Power BI.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Web Development
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: No
Req ID: 265156
Job Hire Type Experienced #LI-MJ #COR
Overview:
We're looking for a senior engineer who combines an architecture mindset with deep hands-on experience - someone who can design scalable systems and personally build and ship them into production. As our lead data engineer, you will own pipelines end-to-end across Google Cloud and Azure Databricks, from whiteboard to running code, while setting the technical direction for our enterprise data products, mentoring the team, and serving as the bridge between business stakeholders and engineering to turn strategic goals into robust, secure data solutions.
Responsibilities:
+ Architect, build, and ship scalable batch and streaming data pipelines into production using BigQuery Dataform, Google Cloud Dataflow, Confluent Kafka, and Pub/Sub.
+ Design and build data pipelines on Azure Databricks using Apache Spark, Delta Lake, and Unity Catalog, keeping engineering patterns consistent with our Google Cloud platform.
+ Manage the end-to-end data product lifecycle, serving as the technical owner for critical data assets and establishing clear service level objectives.
+ Provide technical leadership and mentorship to junior and senior engineers, conducting code reviews and fostering a culture of technical excellence.
+ Lead the engineering team across Google Cloud and Azure Databricks environments, setting multi-cloud architecture standards for data movement, interoperability, security, and cost management.
+ Partner with product managers, business analysts, and leadership to define data product requirements, align roadmaps, and manage engineering delivery schedules.
+ Define, document, and enforce data engineering standards, including CI/CD practices, robust testing frameworks, and comprehensive technical documentation.
+ Own the monitoring, cost optimization, and troubleshooting of production pipelines to maintain reliable business operations.
+ Evaluate emerging technologies, particularly generative AI integrations and advanced governance tools, to continuously improve data platform capabilities.
Qualifications
Required:
+ Bachelor Degree in Computer Science, Management Information Systems, Engineering or related field and 8 years Required
+ Expert knowledge in programming languages and coding principles and procedures.
+ Expert in web development framework.
+ Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills.
+ Excellent verbal and written communication skills.
+ Ability to work methodically and analytically in a quantitative problem-solving environment.
+ Demonstrated critical thinking skills.
+ Expert in Microsoft Office Suite (Word, Excel, and PPT).
+ Strong attention to detail, facilitation, team building and collaboration.
+ Ability to obtain applicable certifications.
Strongly Preferred:
+ Ten or more years of experience in data engineering, data warehousing, or data architecture, with at least five years in a technical leadership, mentoring, or consulting role.
+ Deep technical expertise with Google Cloud, BigQuery, Dataflow, and related cloud data services.
+ Hands-on production experience with Azure Databricks, including Apache Spark (PySpark), Delta Lake, and Unity Catalog.
+ Proven experience architecting and leading delivery on multi-cloud data platforms, ideally spanning Google Cloud and Azure.
+ Production experience designing and deploying real-time streaming architectures using messaging platforms like Confluent Kafka or Google Pub/Sub.
+ Strong expertise in workflow orchestration using scheduling tools like Airflow.
+ Advanced SQL skills and extensive experience with transformation frameworks like Dataform or dbt.
+ Production experience with at least one transactional database, such as Oracle, SQL Server, or PostgreSQL.
+ Strong hands-on coding skills in Python or Java, with a track record of personally shipping production-grade data pipelines.
+ Demonstrated experience managing data product delivery, defining schemas, and establishing data quality baselines.
+ Strong communication skills with a proven track record of collaborating with cross-functional stakeholders and translating business needs into technical specifications.
+ Strong problem-solving abilities and experience leading engineering teams in fast-paced environments.
+ Experience coding with agentic tooling as part of generative AI workflows.
+ Direct experience implementing data mesh principles, managing data products, and using tools like Knowledge Catalog (Dataplex) or Entropy Data for contract management.
+ Advanced knowledge of data security, compliance, and governance tooling such as Immuta and native BigQuery security controls.
+ Experience operating across hybrid or multi-data platform environments, including Palantir.
+ Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
+ Databricks Certified Data Engineer Professional or Microsoft Azure data certifications, plus certifications in supporting technologies such as Power BI.
This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Web Development
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: No
Req ID: 265156
Job Hire Type Experienced #LI-MJ #COR
Do You Have a MO Jobs Account?
Your HireMO account is created from your MO Jobs account, so we need to connect the two.
Already have an account?
Sign In
First, Let's Find Your MO Jobs Account
HireMO works together with MO Jobs, the State of Missouri jobs website.
Create an Account to Apply
Your MO Jobs account is connected. Choose an email and password to sign in to HireMO.
You Need a MO Jobs Account First
HireMO works together with MO Jobs, the State of Missouri jobs website. You need a MO Jobs account before you can create your HireMO account.
- Create your MO Jobs account at jobs.mo.gov. It is free.
- Log in to MO Jobs, then click HireMO from there. That link brings you back here to finish your registration.
- Complete your HireMO account.