Jobs in the United States

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Added 3 mins ago
IG
Top Secret Applied AI/ML Engineer
Insight Global
Fort Meade, MD
- $75 to $115 USD / hour
Insight Global is seeking a Top Secret Applied AI/ML Engineer to support the design, development, and deployment of next-generation artificial intelligence capabilities within a growing…
Added 3 mins ago
Senior Mobile Engineer
Kelly Services
Baltimore, MD
We are seeking a Senior Mobile Engineer to help build and evolve our mobile experience across iOS and Android.
Added 10 mins ago
TT
Product Engineer
True Talent Solutions Partners
Palo Alto, CA
- $185,000 to $205,000 USD / year
- Plan and run A/B tests, interpret results using analytics tools or SQL, and turn findings into product improvements.
Added 15 mins ago
AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location
EY
Saint Louis, MO
To qualify for the role, you must have:
Added 15 mins ago
AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location
EY
Jefferson City, MO
To qualify for the role, you must have:
Added 15 mins ago
AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location
EY
Kansas City, MO
To qualify for the role, you must have:
Added 15 mins ago
AI and Data Science Engineer I
Deloitte
Kansas City, MO
…relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and…
Added 15 mins ago
AI and Data Science Engineer I
Deloitte
Saint Louis, MO
…relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and…
Added 19 mins ago
J
Lead Analytics Engineer
Jobgether
Remote, United States
- $134,865 to $231,198 USD / year
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Analytics Engineer based in the United States.
Added 22 mins ago
Senior Manager, Knowledge & Context Architecture
Teradata
Jefferson City, MO
Help shape how enterprises turn data into trusted knowledge and context for analytics, AI and AI agents.
Added 30 mins ago
M
Senior Solution Engineer - Cloud & AI Data Platform
Microsoft
United States
- $106,400 to $203,600 USD / year
Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship
Added 30 mins ago
M
Customer Experience Engineering Manager
Microsoft
GA · NC · TX · WA · Atlanta, GA · Charlotte, NC · Dallas, TX · Redmond, WA · Atlanta · Charlotte · Dallas · Redmond
- $142,800 to $304,200 USD / year
…summaries, diagnostics, routing and knowledge retrieval that cut engineer toil and speed up…
Added 30 mins ago
M
ML Research Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $102,100 to $219,200 USD / year
…AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or…
Added 31 mins ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are looking for a talented Senior Software Engineer to join us in pushing the boundaries of technology for the Copilot experience. In this role, you will work on building highly scalable…
Added 31 mins ago
M
Software Development Engineer
Microsoft
WA · Redmond, WA · Redmond
- $85,400 to $183,700 USD / year
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 31 mins ago
M
Senior Machine Learning Engineer - Applied Scientist
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are looking for a Senior Machine Learning Engineer - Applied Scientist to help define, evaluate, and build the next generation of AI-powered product experiences. This role requires a…
Added 32 mins ago
M
Data Engineer
Microsoft
United States
- $102,100 to $219,200 USD / year
Candidates who live within 50 miles of Microsoft's Redmond campus will be required to work in the office 3 days per week
Added 35 mins ago
Cloud Solutions Architect (6122-1)
Tri-Force Consulting Services, Inc.
New York, NY
The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture,
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
On-site, five days per week in New York, New York.
Added 1 hour ago
Marketing Lead, Growth
Sumble Inc
Remote, United States
This is a core seat on the new marketing team. We want an engineer-minded marketer who treats growth as a system: you'll design the experiments, work closely with product and engineering,…
Added 1 hour ago
J
Data Integration Engineer
Jobgether
Remote, United States
- $73,500 to $105,600 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Integration Engineer based in the United States.
Added 2 hours ago
Data Strategy & Governance -Director
PwC
Saint Louis, MO
What You Must Have
Added 2 hours ago
Data Strategy & Governance -Director
PwC
Kansas City, MO
What You Must Have
Added 2 hours ago
UI/UX Design Engineer -Jersey City, Dallas TX and Tampa FL
StradIT
Remote, United States
Experience with user analytics and A/B testing.
Added 2 hours ago
UI/UX Design Engineer -Jersey City, Dallas TX and Tampa FL
StradIT
Remote, United States
Experience with user analytics and A/B testing.

AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location

Jefferson City, MO, United States

Apply on hiremo.mo.gov About employer

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Job details

Education: Bachelor’s degree
Experience: + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
Posting language: English

Original job description

Summary

Location: Anywhere in Country

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.

The opportunity:

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:

+ Understanding and analyzing business requirements to translate them into technical requirements.

+ Designing, building, and operating scalable data architecture and modeling solutions.

+ Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.

Key Responsibilities:

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

+ Leading workstream delivery and ensuring quality in all processes.

+ Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.

+ Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success:

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

+ Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).

+ Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.

+ Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.

+ Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.

+ Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.

+ Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.

+ Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.

+ Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.

+ Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.

+ Strong analytical and problem-solving abilities.

+ Excellent communication skills, with the ability to convey complex information clearly.

+ Proven experience in managing and delivering projects effectively.

+ Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have:

+ Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred.

+ Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.

+ Proven expertise in Databricks and experience with Spark for big data processing.

+ Hands-on experience with AI-native data engineering practices, such as using generative AI and agentic workflows to accelerate pipeline development, testing, documentation, and optimization.

+ Strong background in data architecture and design, with experience in building complex cloud analytics solutions.

+ Experience in leading and managing teams, with a focus on mentoring and developing talent.

+ Strong programming skills in languages such as Python, Scala, or SQL.

+ Familiarity with AI-powered IDEs and coding assistants (e.g., Cursor, GitHub Copilot, Databricks Assistant) and their use in day-to-day data engineering development.

+ Excellent problem-solving skills and the ability to work independently and as part of a team.

+ Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Managerial Role:

+ Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.

+ Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.

+ Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.

+ Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.

+ Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.

+ Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.

+ Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Large-Scale Implementation Programs:

Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.

Ideally, you'll also have:

+ Experience with advanced data analytics tools and techniques.

+ Familiarity w...

Apply on hiremo.mo.gov About employer

More about this job

Skills

Databricks
Data engineering
Cloud technologies
Leadership
Guide others
Interpersonal skills
AWS
Microsoft Azure
Google Cloud
Collaboration
Process improvement
Cloud computing
Problem solving
Communication skills
Computer science
Apache Spark
Process data
Documentation
Coaching
Python
Scala
SQL
GitHub
Work independently
Project management
Stakeholder management
Change management
Risk management
Reporting
Point of sale
Google Analytics
Fraud detection
Hazard assessment
Data warehouse
Data analysis

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Work requirements

Jobs in the United States