Data Analytics Engineer

ADP, Inc.; Austin (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

ADP, Inc. in Austin, TX is seeking a Data Analytics Engineer to design, build, and maintain scalable data pipelines, analytics platforms, and reporting solutions. This role bridges data engineering and business intelligence to deliver trusted insights for decision making.

You will collaborate with stakeholders, data analysts, IT teams, and leadership to develop KPIs, data models, and dashboards using SQL, Python, and modern BI tools while ensuring data governance and quality.

Qualifications

• Bachelor's degree in a related field is required (CS/IS/DA/Engineering/Math).
• 3+ years in data engineering, analytics engineering, BI, or related roles.
• Strong SQL development and data warehouse experience are essential.
• Experience with cloud data platforms and data governance practices.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines ingesting data from multiple sources.
• Build and optimize data pipelines for quality, reliability, and performance.
• Develop enterprise data models, data warehouses, and data marts.

Skills

SQL development

Python

Data warehousing

Cloud platforms

BI dashboards

Education

Bachelor's degree in CS/IS/DA

Tools

Azure Data Factory

Databricks

Snowflake

Tableau / Sigma

Power BI

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Regular Technical Austin, TX, US

2 days ago Requisition ID: 2314

SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.

ESSENTIAL FUNCTIONS:

• Design, develop, and maintain ETL/ELT processes for ingesting,transforming, and integrating data from multiple sources.
• Build and optimize data pipelines to ensure data quality, reliability, and performance.
• Develop and maintain enterprise data models, data warehouses, and data marts.
• Monitor and troubleshoot data workflows and resolve data-related issues.

Analytics & Reporting

• Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.
• Translate business requirements into scalable analytical solutions.
• Develop KPIs, metrics, and reporting frameworks to measure business performance.
• Support ad hoc data analysis and reporting requests.

Data Governance & Quality

• Implement data quality controls and validation processes.
• Ensure compliance with organizational data governance policies and security standards.
• Maintain data dictionaries, metadata, and documentation.
• Promote best practices for data management and analytics.

Collaboration & Business Partnership

• Partner with business stakeholders to understand reporting and analytical needs.
• Work closely with application teams and business process owners to improve data accessibility and usability.
• Provide technical guidance and mentoring to analysts and other team members.
• Present analytical findings and recommendations to leadership.

POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
• 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.
• Strong SQL development and database management skills.
• Experience with data warehouse technologies and cloud data platforms.
• Proficiency in Python, SQL, or other data processing languages.
• Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms.
• Knowledge of ETL/ELT frameworks and data integration methodologies.

PREFERRED QUALIFICATIONS:

• Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.
• Understanding of data governance and master data management practices.
• Experience working in Agile environments.
• Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.

KEY COMPETENCIES:

• Analytical thinking and problem-solving
• Data modeling and architecture
• Stakeholder communication
• Process improvement
• Project management and prioritization
• Collaboration and teamwork

SUCCESS MEASURES:

• Delivery of reliable and scalable analytics solutions.
• Improvement in data quality and reporting accuracy.
• Increased adoption of self-service analytics capabilities.
• Timely delivery of data and analytics initiatives aligned with business goals.

PHI ACCESS:

• This position requires access to PHI due to reporting and data content