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6d ago

Senior Data Engineer

Delta Dental Alpharetta, GA

Alpharetta, GA

6d ago

$160k - $165k/yr Full time Senior Analytics Azure

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Job Description

Delta Dental offers a hybrid work arrangement in Alpharetta, GA, with a competitive annual compensation range of USD 160,056 to 165,056. The organization emphasizes growth, learning, and a holistic benefits program, backed by strong retirement and wellness offerings. This Senior Data Engineer role provides the chance to design and maintain enterprise data platforms, govern data assets, and enable analytics across the business, with the expectation of in-office presence as required.

Benefits

Competitive base pay with incentive opportunities
401(k) plan with robust employer matching and contributions
Comprehensive medical and pharmacy benefits
100% employer-paid dental and vision coverage
Holistic wellbeing program with meaningful financial incentives
Generous paid time off plus 12 paid holidays and a birthday off
Culture that supports growth and learning, including career development and tuition reimbursement
Family support programs covering adoption, fertility treatment, child care, elder care, and pet care
Opportunities to participate in social responsibility and volunteer initiatives
Employee discount program

Responsibilities

Design, build, and deploy enterprise data engineering solutions that enable business processes and analytics
Collaborate with Business Analysts, Architecture teams, and cross-functional stakeholders to gather requirements and translate them into scalable data models, cloud pipelines, and integration frameworks
Design and implement data integration using SAP Data Services, SSIS, and Azure Data Factory to move structured and unstructured data across diverse systems
Build and optimize data processing platforms using Microsoft Azure services, including Azure Data Factory and Azure SQL Database
Develop end-to-end ETL and ELT pipelines for ingestion, transformation, and analytics readiness; create complex SQL logic, stored procedures, packages, and functions in Oracle and SQL Server
Develop and maintain data warehouse and data lake architectures using Star and Snowflake schema designs
Perform data profiling and data quality checks, enforcing governance standards to ensure integrity, consistency, and compliance across the data lifecycle
Prototype solution designs for review with business and architecture teams; evaluate and select cloud technologies for ingestion, transformation, reporting, and analytics
Design and develop dashboards, KPIs, and visualizations using Power BI to support enterprise reporting needs
Automate manual workflows using Python and Unix shell scripting
Troubleshoot data pipeline failures, optimize performance, and resolve data-related issues to minimize disruption
Participate in data architecture discussions and contribute to integration strategies, cloud migration, and modernization initiatives
Prepare technical design documents, mapping specifications, workflow diagrams, and solution architectures; ensure designs meet security standards
Support all phases of the Software Development Lifecycle, including requirements analysis, technical design, development, testing, deployment, and production support
Mentor junior team members by sharing best practices, coding standards, and cloud data engineering methodologies
Must reside within a reasonable commuting distance to HQ and be able to appear in the office as required

Requirements

Bachelor’s degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field, plus five years of progressive post-baccalaureate experience in ETL development or data engineering
Experience developing and optimizing entity relationship models using ERWIN and crafting complex SQL queries to support analytics
Designing and optimizing enterprise database schemas in Oracle and Microsoft SQL Server, including tables, views, stored procedures, indexing, and performance tuning
Building ETL and data integration workflows with SAP Data Services, SSIS, and Azure Data Factory, including pipelines, datasets, triggers, integration runtimes, and mapping documents
Designing dimensional data models for OLTP and OLAP environments using Star and Snowflake schemas, applying normalization and denormalization as appropriate
Developing automation scripts with Python and Unix shell scripting to streamline ingestion, transformation, validation, and cloud analytics processes
Creating interactive dashboards and reports using Power BI for operational and analytical insights
Enforcing data integrity and governance through data quality checks, validation rules, and governance frameworks
Implementing data governance and data quality processes, including profiling, reconciliation checks, error handling, and anomaly detection
Designing and managing scheduling and workflow automation using ADF triggers, Jenkins, SQL Server Agent, or TIDAL
Using version control systems such as GitHub or SVN to manage source code and maintain consistency across ETL pipelines, database artifacts, and cloud resources
Experience across all SDLC phases, including requirements gathering, design, development, documentation, testing, deployment, and production support
Troubleshooting and optimizing SAP BODS jobs, SQL queries, ADF pipelines, and cloud data transformation processes

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