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Senior Data Engineer
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Senior Data Engineer
- Alpharetta, Georgia, United States
- Alpharetta, Georgia, United States
Über
Senior Data Engineer
Location: 1130 Sanctuary Parkway, Alpharetta, GA 30009; Must live within reasonable commuting distance from HQ and able to appear in office as required.
Salary Range: $160,056/yr - $165,056/yr
Responsibilities
Design, develop, and implement enterprise data engineering solutions to support business processes and analytical requirements.
Collaborate with Business Analysts, Architecture teams, and cross‑functional stakeholders to gather requirements and translate them into scalable data models, cloud data pipelines, and integration frameworks.
Design and implement data integration processes using SAP Data Services, SSIS, and Azure Data Factory (ADF) to extract, transform, and load structured and unstructured data across heterogeneous systems.
Build and optimize data processing platforms using Microsoft Azure services including Azure Data Factory and Azure SQL Database.
Design end‑to‑end ETL/ELT pipelines for ingestion, transformation, and analytical data preparation. Create complex SQL logic, stored procedures, packages, and functions in Oracle and SQL Server to support operational and analytical workloads.
Develop and maintain data warehouse and data lake architecture using Star and Snowflake schema designs.
Perform data profiling, data quality checks, and enforce 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 optimal cloud technologies for ingestion, transformation, reporting, visualization, 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 business disruption.
Participate in data architecture discussions, contributing to integration strategies, cloud migration efforts, and modernization initiatives.
Prepare technical design documents, mapping specifications, workflow diagrams, and solution architectures; ensure all designs follow organizational and security standards.
Support all phases of the Software Development Lifecycle (SDLC), including requirements analysis, technical design, development, testing (unit, integration, system), deployment, and production support.
Mentor junior team members by providing guidance on best practices, coding standards, and cloud data engineering methodologies.
Must live within reasonable commuting distance from HQ and able to appear in office as required.
Qualifications
Bachelor's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or related field and five (5) years of progressive, post‑baccalaureate experience in the job offered or related ETL Development/Data Engineering role.
Developing and optimizing entity relationship models using ERWIN, crafting complex SQL queries, and refining them to support analytical requirements and business insights.
Designing, developing, and optimizing enterprise database schemas in Oracle and Microsoft SQL Server, including creation of tables, views, stored procedures, indexing strategies, and applying performance tuning techniques.
Building ETL and data integration workflows using SAP Data Services, SSIS, and Azure Data Factory (ADF), including pipelines, datasets, triggers, integration runtimes, and detailed source‑to‑target mapping documents.
Designing dimensional data models for OLTP and OLAP environments using Star and Snowflake schemas and applying data architecture best practices such as normalization and de‑normalization.
Developing automation scripts using Python and Unix Shell Scripting to streamline data ingestion, transformation, validation, and cloud analytics processes.
Creating and deploying interactive dashboards and reports using Power BI to provide operational and analytical visualizations.
Enforcing data integrity, accuracy, and compliance by applying data quality checks, validation rules, and governance frameworks throughout the data lifecycle.
Implementing data governance and data quality processes, including data profiling, reconciliation checks, error‑handling logic, and anomaly detection methods.
Designing and managing scheduling and workflow automation using ADF triggers, Jenkins, SQL Server Agent, or TIDAL to orchestrate ETL and data pipeline operations.
Using version control systems such as GitHub or SVN to manage source code, track revisions, and maintain consistency across ETL pipelines, database artifacts, and cloud resources.
Applying experience across all phases of the Software Development Lifecycle (SDLC) including requirements gathering, technical design, development, documentation, testing, configuration management, deployment, and production support.
Performing troubleshooting, root cause analysis, and performance optimization of SAP BODS jobs, SQL queries, ADF pipelines, and cloud‑based data transformation processes.
Base Pay Information The national base pay range at the end is a good‑faith estimate of what Delta Dental may pay for new hires. Actual pay may vary based on Delta Dental's assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, certifications and ability to meet required minimum job qualifications. Other factors impacting pay include prevailing wages in the work location and internal equity.
Benefits
Competitive base and incentive pay
401(k) with robust matching and non‑matching contributions
Rich medical & pharmacy benefits
100% employer‑paid dental and vision benefits
Holistic wellbeing program with deep financial incentives
Generous paid time off plus 12 paid holidays and birthday off
Culture of growth and learning: career development, tuition reimbursement, recognition program
Family support: adoption assistance, fertility treatment, child, elder & pet care assistance
Social responsibility and volunteer opportunities
Employee discount program
Fair Chance Ordinances and Criminal Background Considerations This position requires that the applicant undergo a background check. Qualified applicants with arrest or conviction records will be considered for employment in accordance with any applicable federal, state or local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and/or New York Corrections Law Article 23-A.
Important Work Authorization Information Please note, Delta Dental will not sponsor applicants for work visas for this position.
Delta Dental Ins. is an equal‑opportunity employer and is committed to providing a professional work environment free from discrimination and harassment. Individuals seeking employment at Delta Dental are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, actual or perceived physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category. Delta Dental is committed to providing equal employment opportunities to all employees and applicants for employment. Accordingly, we have adopted and maintain an Equal Employment Opportunity Policy, Harassment‑Free Work Environment Policy, and Respectful Workplace policies and will not tolerate violations of these policies.
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Sprachkenntnisse
- English
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