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Senior Data Analytics Engineer Jobs (NOW HIRING)

Corning

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Jobgether

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

Assa Abloy

Senior Data Analytics Engineer

Phoenix, AZ · On-site

C) Analytics engineering: data products, semantic layer, and standardized metrics * Design and own curated analytics datasets and reusable dimensional models that become a "single source of truth ...

BizzyCar

Senior Data & Analytics Engineer

$108K - $147K/yr

As a Senior Data & Analytics Engineer , you'll own BizzyCar's data foundation and help shape how data drives decisions across the company. You'll lead execution across data initiatives, manage and ...

Hyperbolic

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking their first data analytics hire to establish and own the data foundation for their ... Hyperbolic is the open-access AI cloud made for AI developers, providing fast, affordable access to ...

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Senior Data Analytics Engineer information

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$81K

$126.3K

$175K

How much do senior data analytics engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior data analytics engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Sr Data Analytics Engineer

Apodaca, NM

Corning

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

65th of 545 rated manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Corningexternal

$113K - $136K/yr

Full-time

Re-posted 17 hours ago

Job description

Senior Data Analytics Engineer

Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact?

Would you like to join a global organization where you can build scalable data solutions, generate actionable insights, and help teams make better decisions through trusted, high-quality data?

ROLE DESCRIPTIONWhat is your role?

The Senior Data Analytics Engineer is responsible for designing, building, and maintaining reliable data pipelines while also performing data analysis to support business decision-making. This role bridges engineering and analytics, ensuring that high-quality, accurate, and accessible data is available across the organization. The position works closely with cross-functional teams to transform business needs into scalable data solutions, reporting, and actionable insights.

Major responsibilities and tasks of the position:
  • Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks and related tools
  • Build and maintain data models, dashboards, and analytics solutions that support reporting and business KPIs
  • Ensure data quality, governance, traceability, and integrity through monitoring and validation processes
  • Partner with cross-functional stakeholders to identify business needs and deliver data-driven insights and solutions
REQUIREMENTSWhat do you need to have?
  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
  • 3 to 5 years of experience in data engineering, data analytics, analytics engineering, or a similar role
  • Hands-on experience with Databricks, including data pipelines, SQL, Delta Lake, and notebooks
  • Strong SQL and Python skills for data manipulation, transformation, and analysis
  • Experience with ETL/ELT pipelines, data modeling, and data quality/governance practices
  • Experience with BI tools such as Power BI, Tableau, or similar platforms
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
  • English proficiency, both spoken and written
PREFERRED QUALIFICATIONS
  • Master’s degree in Artificial Intelligence, Statistics, or a related field
  • Familiarity with SAP ERP systems and integration with data solutions
  • Experience working with manufacturing KPIs, statistical process control, or Six Sigma concepts
  • Exposure to predictive modeling and machine learning pipelines
  • Understanding of Agile methodologies such as Scrum and Kanban
BENEFITS OF WORKING FOR CORNINGWhat we offer?
  • Competitive compensation and benefits package
  • A collaborative environment that supports learning, innovation, and professional growth
  • The opportunity to work on impactful, cross-functional data and analytics initiatives
  • Exposure to modern data tools, cloud technologies, and business-critical decision-making
  • Equal opportunity employer

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

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