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Manager Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. * Develop ...

Data Engineer

Huntsville, AL · Hybrid

$112K - $135K/yr

Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. * Develop ...

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. * Develop ...

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. * Develop ...

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. * Develop ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer uses advanced data design and technical skills to work with business subject ... Analytics and Data Product use cases * Builds data pipelines to collect and arrange data and manage ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Required Education : * BS degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant ...

Data Engineer - Manager

Birmingham, AL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Data Engineer Sr

Birmingham, AL · On-site

$107K - $128K/yr

As a(n) Senior Data Engineer within PNC's Business Analytics organization, you will be based in ... Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data ...

Data Engineer

Homewood, AL

$107K - $128K/yr

Build and manage data warehouses, data marts, and structured datasets to support clinical ... Analytics & Reporting Enablement * Enable dashboards and reporting for key performance areas ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Bachelor's degree in Data Analytics, Information Systems, Business, Mathematics, Engineering, GIS, Computer Science, or a related field. * 0-2 years of experience in data analysis, data management ...

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Showing results 1-20

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Alabama? The most popular types of Data Analytics Engineer jobs in Alabama are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Alabama? For Manager Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Alabama look for? The top searched job categories for Manager Data Analytics Engineer jobs in Alabama are:
What cities in Alabama are hiring for Manager Data Analytics Engineer jobs? Cities in Alabama with the most Manager Data Analytics Engineer job openings:
Data Engineer

$119K - $143K/yr

Full-time

Posted 10 days ago


Job description

Overview
Data Engineer
Huntsville, AL
Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!
Chronos Operations (CO) is a wholly-owned subsidiary of Chenega Corporation, an Alaska Native Corporation based in Anchorage, AK. Belonging to the Military, Intelligence, and Operations Support (MIOS) Strategic Business Unit (SBU), Chronos has a culture rooted in integrity, respect, and exceptional performance. Chronos is headquartered in Colorado Springs, CO, and provides mission-critical services in Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and Intelligence.
The Data Engineer builds data pipelines and integrates sources for use in dashboards, analytics, and compliance reporting. The Data Engineer ensures data is secured through testing, implementation, design, and monitoring.
Responsibilities
  • Manage and coordinate with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms.
  • Develop, maintain, evaluate, and test valuable data solutions within an organization.
  • Develop and execute plans, policies, and practices that control, protect, deliver, and enhance the value and integrity of the organization's data and information assets and programs.
  • Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways to apply the data, choose and design optimal data solutions, and build data processing systems, using expertise in data warehousing solutions and working with the latest database technologies.
  • Investigate data quality problems, conduct analysis to determine root causes of problems, correct errors, and develop prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions.
  • Process unstructured data into a form suitable for analysis, followed by doing the analysis.
  • Integrate innovations and algorithms into the organization's data systems, working closely with the engineering team.
  • Implement complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
  • Establish security protocols to protect all data collected and used by the organization.
  • Ensuring the compliance of policy, processes, and procedures throughout the day-to-day management of the organization.
  • Assist in managing data needs and supporting the collection of data needed for various operational needs.
  • Data analysis, problem solving, investigation, and creative thinking with a massive amount of data supporting a variety of operational scenarios, and responsible for source code control
  • Create and maintain data ingestion and transformations within Vantage and Gabriel Nimbus
  • Other duties as assigned.

Qualifications
  • Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related programs required.
  • 4+ years of experience in building data pipelines, data transformation, and integrating sources for use in dashboards, AI/ML, analytics, and compliance reporting
  • Must have an active Secret clearance with the ability to obtain TS with SCI eligibility.
  • Successfully pass background and drug screening

Preferred Qualifications:
  • 3+ years' experience supporting DoD or federal programs is highly desirable.
  • Data Analytics or Engineering Certifications
  • 3+ years' experience with Vantage or Gaberiel Nimbus
  • Experience with utilizing logs, scans, and sensor data
  • Cybersecurity certifications like CISSP (Certified Information Systems Security Professional), CISA (Certified Information Systems Auditor), or CISM (Certified Information Security Manager) are desired.
  • Baseline and Full Computing Environment Certifications for IAT-II IAW DoD 8570.01-M (Security+ certification) desired.

Knowledge, Skills and Abilities:
  • Experience in Python and SQL required
  • Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and migrating customers/projects to the cloud
  • Experience working in a Unix/Linux environment
  • Experience with NoSQL database
  • Experience with utilizing API for data sources
  • Experience with transforming JSON
  • Experience working in cloud infrastructures
  • Must have high proficiency in the Microsoft Office suite and possess advanced skills and knowledge in programs like Word, Excel, PowerPoint, and Outlook
  • Must have understanding of cloud technologies (e.g., AWS, Azure, GCP, Oracle) and
  • hybrid cloud environments
  • Knowledge of Continuous Integration & Continuous Development tools (CI/CD).
  • Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or Business Objects (BO), and data analysis tools.
  • Experience extracting, transforming, and structuring data to support both exploratory analytics and operational reporting.
  • Use knowledge of data visualization tools to deliver information that allows client users to quickly understand data, ask better questions, and take action.
  • Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science.
  • Skillful time management and organizational skills to set and meet deadlines.
  • Ability to work both independently and within a team.
  • Ability to work effectively in a team environment to encourage collaboration, innovation, and continuous improvement.
  • Ability to meet minimum clearance requirements.
  • Ability to travel up to 10%.
  • Ability to work nights, weekends, and holidays as required.

How you'll grow
At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn.
We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.
Benefits
At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.
Learn more about what working at Chenega MIOS can mean for you.
Chenega MIOS's culture
Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.
Corporate citizenship
Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.
Learn more about Chenega's impact on the world.
Chenega MIOS News- https://chenegamios.com/news/
Tips from your Talent Acquisition Team
We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links:
Chenega MIOS web site - www.chenegamios.com
Glassdoor - https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htm
LinkedIn - https://www.linkedin.com/company/1472684/
Facebook - https://www.facebook.com/chenegamios/
#Chronos Operations, LLC