Manager

Manager Data Jobs

32 jobs found

1d ago

Data/Analytics Engineer

Public Health Foundation Enterprises, In Los Angeles, CA

Los Angeles, CA

1d ago

$10,214 - $13,376/mo Full time Manager Analytics Automation

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Job Description

Public Health Foundation Enterprises, In is seeking a senior Data/Analytics Engineer to lead the Community Programs Databricks environment from its Los Angeles, CA campus. The role centers on end-to-end data architecture and governance, delivering a Medallion-based platform that unifies housing, justice, and clinical operations while creating scalable data products for program tracking, executive reporting, and predictive modeling. The position is onsite in Los Angeles with a monthly salary range of USD 10,214 to 13,376.

Responsibilities

Develop and scale a governed Databricks platform that serves as the authoritative data source across housing, justice, and clinical systems.
Architect and deploy automated, production-grade data pipelines and CI/CD workflows using Databricks, Terraform, and GitHub.
Translate complex program logic into scalable data models and reusable data assets.
Create scalable semantic models that map a client’s journey across multiple programs, standardizing touchpoints over time.
Institute secure-by-design data systems handling sensitive PHI and CJI data with Unity Catalog for centralized governance, audit logging, and access control.
Enable advanced analytics by delivering curated datasets, APIs, and environments for machine learning and NLP applications.
Collaborate with leadership and cross-functional teams to shape data usage for policy, operations, and outcomes.
Provide technical leadership by mentoring staff and establishing engineering standards for long-term scalability and maintainability.
Programmatically map complex, multi-source program utilization (CHAMP, DD, HMIS) to funding streams for strict fiscal and grant tracking compliance.
Design, implement, and maintain a scalable Databricks lakehouse using Medallion principles; build ETL/ELT pipelines that integrate structured and unstructured data across systems, and ensure interoperability with standards such as FHIR and HL7v2.
Automate data lifecycles with GitHub Actions and Terraform, applying software engineering practices like version control, automated testing, and continuous integration before production deployment.
Design and maintain the Unified Data Model for Community Programs, leading architectural efforts to stitch cross-program client journeys and develop multi-dimensional structures mapping utilization to funding streams.
Establish enterprise data governance, including RBAC/ABAC, data lineage, audit logs, and data loss prevention to safeguard regulated data.
Develop scalable data products, curated datasets, APIs, and analytical layers that support reporting, dashboards, and advanced analytics; optimize performance with SQL and BI tools.
Provide technical leadership and delivery oversight for data engineers, analysts, and scientists, promoting best practices in system design.
Build and maintain environments required for advanced analytics, partnering with data scientists and DHS Security teams to ensure models and data products are scalable and compliant.

Requirements

Significant experience in Enterprise Data Architecture.
Strong background in Cloud Infrastructure.
Extensive experience in Analytics Engineering.
A relevant bachelor’s degree.
Proven track record managing complex data lifecycles within large-scale Databricks environments.
Solid background in Cloud Data Engineering.
Experience with Infrastructure Automation.
Option I: Two years in a lead capacity delivering complex data infrastructure and architecture projects, including automated ETL/ELT pipelines, Lakehouse management (Databricks), and enterprise data security at a level equivalent to the Los Angeles County Principal Information Systems Analyst.
Option II: Bachelor’s degree in Information Technology, Computer Science, Data Engineering, or Data Science with six years applied experience in data engineering, infrastructure automation (CI/CD), and enterprise data management; two years in a lead role. A Master’s or Doctoral degree may substitute up to two years of general experience.
DHS Live Scan is required.
Expert proficiency in Python focusing on data manipulation with Pandas and PySpark, and automation.
Expert proficiency in SQL including query optimization, CTEs, and window functions.
Advanced data visualization skills for executive insights in Tableau or Power BI.
Cloud automation experience with Terraform and GitHub Actions.

Technologies

Databricks
Terraform
GitHub
GitHub Actions
Unity Catalog
SQL
Tableau
Power BI
Python
Pandas
PySpark

Physical Demands

Stand: Occasionally
Walk: Occasionally
Sit: Frequently
Handling / Fingering: Frequently
Reach Outward: Occasionally
Reach Above Shoulder: Occasionally
Climb, Crawl, Kneel, Bend: Occasionally
Lift / Carry: Occasionally up to 25 lbs
Push / Pull: Occasionally up to 25 lbs
See: Constantly
Taste / Smell: Not Applicable

Work Environment

General office setting with indoor climate control.

Selection Process

Live technical interview: shortlisted candidates will complete a live technical assessment to test SQL and Python proficiency, architectural problem solving within the Databricks ecosystem, and the ability to translate programmatic logic into scalable data models.

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4d ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

4d ago

$124k - $280k/yr Full time Manager Senior Analytics

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Job Description

PwC is seeking a Senior Data Engineer - Senior Manager in Miami, onsite. In Technology Consulting, you will lead data engineering initiatives, leverage data and analytics to deliver strategic insights for clients, and guide teams to solve complex problems. The role offers a salary range of USD 124,000 to 280,000 per year. A Bachelor's degree is required, with a minimum of six years of experience.

Benefits

Medical
Dental
Vision
401(k)
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and implement innovative data solutions that optimize business performance and boost client competitiveness, including roadmap development and solution optimization.
Apply advanced analytics techniques to support client operations and strategic goals, including AWS data engineering and Redshift implementations.
Build and maintain data pipelines and architectures to underpin business intelligence efforts, leveraging DataStage and ETL processes.
Deploy data visualization capabilities to deliver actionable insights and improve client outcomes, using SQL Server and DB2.
Partner with stakeholders to identify data challenges and opportunities, aligning with managed services and service level agreements.
Coach and motivate teams to solve complex problems and deliver high-quality results.
Use systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and refine solutions based on feedback, focusing on CSAT and performance tuning.
Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Bachelor's degree required
Minimum of six years of experience

Technologies

AWS
Redshift
DataStage
SQL Server
DB2
Python
Java
QlikView
Oracle BI

What sets you apart

Preferred fields of study include Computer and Information Science; Computer and Information Science and Accounting; Economics; Economics and Finance; Economics and Finance and Technology; Operations Management or Operations Research; Statistics; Engineering.
Demonstrated expertise in data architecture design and managing data pipelines.
Proficiency in Python and Java for advanced data analysis and visualization.
Experience with BI tools such as QlikView and Oracle BI.
Experience leading strategic questioning and stakeholder engagement initiatives.
Ability to apply systems thinking to identify root problems.
Ability to guide teams through complex and ambiguous situations.

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4d ago

Managed Services - Senior Data Engineer - Manager

PRICE WATERHOUSE COOPERS Miami, FL

Miami, FL

4d ago

$99k - $232k/yr Full time Manager Senior Analytics

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Job Description

PwC's Managed Services group is seeking a Senior Data Engineer - Manager to steer data engineering initiatives within the Data & Analytics practice, delivering analytics-driven solutions for client performance. This onsite role in Miami emphasizes strategic project leadership, mentoring junior engineers, and guiding data strategy across client engagements. The compensation ranges from USD 99,000 to 232,000 per year.

Responsibilities

Oversee data engineering initiatives to extract strategic insights and enhance client performance through ETL and ELT integration.
Design and deploy innovative data solutions using DataStage to enable advanced analytics.
Manage and mentor teams to elevate skills and deliver high-quality client services, focusing on pipeline architecture.
Utilize business intelligence tools and cloud analytics platforms to strengthen data‑driven decision making, with experience in AWS and Redshift.
Build and maintain scalable data pipelines and architectures to support analytics initiatives using DB2 and SQL Server.
Collaborate with stakeholders to identify opportunities for data utilization and process improvement, leveraging GoldenGate and CDC.
Lead the deployment of scalable data visualization and reporting solutions with attention to performance tuning.
Promote the adoption of new technologies and methodologies within data and analytics teams, including S3 and Glue.
Address and resolve conflicts or issues with clients and team members, escalating when necessary.
Maintain professional and technical standards, including adherence to PwC's code of conduct and independence requirements.

Requirements

Bachelor's degree required.
Minimum of four years of experience.

Technologies

DataStage
AWS
Redshift
DB2
SQL Server
GoldenGate
CDC
S3
Glue
Python
Java
BIRT
QlikView
Spotfire

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

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4d ago

Data Engineer - Manager

PRICE WATERHOUSE COOPERS Stamford, CT

Stamford, CT

4d ago

$99k - $232k/yr Full time Manager Analytics Cloud Operations

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Job Description

PwC offers a hybrid Data Engineer - Manager role in Stamford, CT with a competitive salary range of USD 99,000 to 232,000 per year. The position blends leadership of client-focused data initiatives with hands-on design of data infrastructure, pipelines, and analytics capabilities. Benefits include medical, dental, and vision coverage, a 401(k) plan, holiday pay, vacation, and personal and family sick leave. You will guide cross-functional teams, manage client accounts, and translate data-driven insights into measurable business growth.

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and build scalable data architectures and systems that enable efficient processing and analytics
Create and manage data pipelines, integration, and transformation solutions to meet client needs
Leverage AWS and Azure Data Factory to strengthen data engineering capabilities
Lead teams in planning and executing data driven projects
Oversee deployment of scalable data solutions on Databricks and Snowflake
Mentor teammates in data architecture development and database optimization
Ensure data quality, security, and compliance within analytics frameworks
Identify opportunities to apply data for growth and performance improvements
Coach junior staff to develop skills and foster innovation
Address conflicts and engage in critical conversations with clients and stakeholders

Requirements

Bachelor's degree required
Minimum four years of experience

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Databricks
Snowflake

What sets you apart

Preference for study in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
Experience using AWS and Azure Data Factory for data engineering
Developing data architecture and optimization strategies with Snowflake and Databricks
Implementing data anonymization and security best practices in complex systems
Strength in dimensional modeling and data pipeline management
Leading teams in data warehouse troubleshooting and performance tuning
Mentoring junior staff in data strategy and validation techniques

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4d ago

Senior Data Engineer - Senior Manager

PRICE WATERHOUSE COOPERS Greensboro, NC

Greensboro, NC

4d ago

$124k - $280k/yr Full time Manager Senior Analytics

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Job Description

In PwC's Technology Consulting practice, the Senior Data Engineer - Senior Manager leads data-driven initiatives on site in Greensboro, NC, delivering strategic insights and guiding decision-making for clients. The role focuses on developing innovative solutions to optimize business performance, coaching teams, and delivering high-quality outcomes at the senior management level. The position offers a salary range of USD 124,000 to 280,000 per year.

Responsibilities

Develop innovative solutions to optimize business performance and strengthen competitive advantage, including solution optimization and roadmap development.
Apply advanced analytics techniques to support client operations and strategic objectives, including AWS data engineering and Redshift.
Design and maintain data pipelines and architectures to support business intelligence initiatives, utilizing DataStage and ETL.
Deploy data visualization tools to provide actionable insights and improve client outcomes, leveraging SQL Server and DB2.
Collaborate with stakeholders to identify data challenges and opportunities, aligning managed services and service level agreements.
Coach and motivate teams to tackle complex problems and deliver high-quality results.
Apply systems thinking to uncover underlying problems and opportunities within client projects, including workload orchestration and scheduling.
Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
Guide teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

Education: Bachelor's degree
Experience: Minimum 6 years in relevant roles

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

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4d ago

Managed Services - Senior Data Engineer - Manager

PRICE WATERHOUSE COOPERS Greensboro, NC

Greensboro, NC

4d ago

$99k - $232k/yr Full time Manager Senior Analytics

Apply Now

Job Description

Senior level data engineering leadership within PwC's Managed Services, overseeing projects, mentoring teams, managing client accounts, and delivering analytics-driven solutions to optimize business performance.

Responsibilities

Lead data engineering initiatives to generate strategic insights and enhance business performance through ETL/ELT data integration
Design and deploy data solutions that leverage advanced analytics techniques, including DataStage
Manage and mentor teams to elevate capabilities and ensure high-quality client deliverables, covering pipeline architecture
Use business intelligence tools and cloud analytics platforms to support data‑driven decisions, including AWS and Redshift
Build and maintain data pipelines and architectures to back analytics initiatives with DB2 and SQL Server
Collaborate with stakeholders to identify opportunities for data utilization and process improvements, leveraging GoldenGate and CDC
Oversee the deployment of scalable data visualization and reporting solutions, with performance tuning
Encourage adoption of new technologies and methodologies across data and analytics teams, including S3 and Glue
Address and resolve client and team issues, escalating when necessary
Maintain professional and technical standards, aligning with PwC's code of conduct and independence requirements

Requirements

Bachelor's degree required
Minimum 4 years of relevant experience

Technologies

DataStage
AWS
Redshift
DB2
SQL Server
GoldenGate
CDC
S3
Glue
BIRT
Python
Java
QlikView
Spotfire

Benefits

Medical insurance
Dental coverage
Vision plan
401(k) retirement plan
Paid holidays
Paid vacation
Paid personal and family sick leave

What Sets You Apart

Preferred degrees include Computer and Information Science; Computer Science and Accounting; Economics; Economics and Finance; Economics and Finance and Technology; Operations Management/Research; Statistics; Engineering
Proficiency in Business Intelligence and Reporting Tools, particularly BIRT
Experience using Python and Java for data engineering tasks
Strong data visualization skills with QlikView and Spotfire
Experience shaping data architecture and pipeline strategies
Commitment to continuous process improvement in data analytics
Proven ability to lead teams in data driven decision making

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6d ago

Information Technology Analyst IV (Cloud Data Engineer)

Solano County Fairfield, CA

Fairfield, CA

6d ago

$62 - $75/hr Full time Manager Senior Analyst

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Job Description

Solano County DoIT seeks a Senior Information Technology Analyst IV (Cloud Data Engineer) to lead design and maintenance of major data systems onsite in Fairfield, CA, with a salary of USD 62 - 75 per hour.

Responsibilities

Act as the team lead and project manager for designated major systems.
Provide advanced technical support to system users.
Offer strategic direction to software development, network and systems administration, service desk, security, and database teams, as well as consultants, on system design and infrastructure projects.

Requirements

Bachelor's degree is required.
Demonstrated advanced expertise in modern data warehousing technologies including Azure Data Lake, Azure Synapse, Kimball data modeling, facts and dimensions design, and Medallion Architecture for data engineering.
Strong ETL development experience with SSIS and Azure Data Factory.
Proficient in SQL, Python, and R.
Significant experience with Power BI, DevOps, Purview, and Dynamics CRM is highly desirable.
Preferred certifications include Azure Data Fundamentals, Azure AI Associate, Azure Data Engineer or Azure Solution Architect, DAMA CDMP, and Power BI Data Analyst.

Technologies

Azure Data Lake
Azure Synapse
SSIS
Azure Data Factory
SQL
Python
R
Power BI
DevOps
Purview
Dynamics CRM
Medallion Architecture
Kimball data modeling
data warehouse technologies

The Position

This is the fourth classification level in the Information Technology Analyst job series.
Incumbents apply advanced specialized and technical analytical skills and act as team leader/project manager for designated major systems.
They perform the most difficult duties, including providing advanced technical support to system users.
They provide lead direction to software development, network/systems administration, service desk, or security and database systems, other Information Technology Analysts, and/or consultants on assigned systems design or infrastructure and maintenance projects.

Ideal Candidate

Demonstrates advanced knowledge in modern data warehouse technologies, including Azure Data Lake, Azure Synapse, Kimball data modeling, facts and dimensions design, and Medallion Architecture.
Skilled in ETL development using SSIS and Azure Data Factory.
Proficient in SQL, Python, and R.
Strong experience with Power BI, DevOps, Purview, and Dynamics CRM is highly desirable.
Preferred certifications include Azure Data Fundamentals, Azure AI Associate, Azure Data Engineer or Azure Solution Architect, DAMA CDMP, and Power BI Data Analyst.

Selection Process

Based on application documents, qualified applicants may be invited for further examination and will be pre-scheduled by the Department of Human Resources or invited to self-schedule.
All applicants meeting the minimum qualifications are not guaranteed advancement through any subsequent phase of the examination.
Depending on the number of applications, the process may include an initial application screening, mandatory information meeting, supplemental questionnaire assessment, a written and/or practical exam, an oral board exam, or any combination listed.
Responses to supplemental questions may be used as screening and testing mechanisms and will be treated as test examination responses.
Information contained herein does not constitute either an expressed or implied contract.
A minimum score of 70% is required to continue in the process, unless otherwise announced.
All potential new hires and employees considered for promotion to management, confidential positions or unrepresented positions will be subject to a background and reference check after a contingent job offer is accepted. Provisions are subject to change.
RETIREES - Hiring restrictions may apply to California Public Sector Pension Plan Retirees.

How to Apply

Applications must be submitted through the NEOGOV system. Paper copies of applications are not accepted. All requested materials (degree/transcripts, certificates, DD-214 if applicable, ADA Accommodation Request) must be submitted by the final filing date.
Previously submitted application materials for prior recruitments will not be applied for this recruitment but must be re-submitted for this recruitment.

How to Submit Your Documents

In addition to uploading attachments online, you may submit documents by fax to (707) 784-3424 or by email to recruitment@solanocounty.com. Include the recruitment title and recruitment number in your submission.

Veteran’s Preference Points

To be eligible, applicants must have served at least 181 consecutive days of active duty in the Armed Forces and have received an honorable discharge or a general discharge under honorable conditions; a copy of DD 214 (copy 4) must be received by the final filing date.
Service connected disability applicants must submit a recent VA award letter stating disability benefits.
Veteran preference points: five points for honorable/general discharge; ten points for 30 percent or more service-connected disability. Points apply to passing scores in competitive open examinations.