The ideal candidate will possess strong problem-solving abilities, excellent communication skills, and experience working within agile development environments. Preferred qualifications include certifications in cloud or data engineering platforms, familiarity with non-relational databases and OpenSearch technologies, and exposure to business intelligence tools such as Tableau or Power BI. Success in this role will be measured by pipeline performance, data reliability, cross-functional collaboration, and contributions toward innovation and infrastructure optimization.
1. Pipeline Development & Data Integration (50%)
Design, develop, optimize, and maintain scalable ETL/ELT pipelines and cloud-based data integrations across enterprise systems, APIs, and operational platforms including Yardi and Salesforce. Build reliable, high-performance workflows that support the movement and transformation of data from SQL Server and other source systems into AWS-based analytics platforms including Redshift and S3.
Key Areas
ETL/ELT pipeline development and optimization
SQL Server, API, Yardi, Salesforce, and third-party integrations
AWS S3 and Redshift data workflows
Airflow and AWS Glue orchestration
Pipeline monitoring, reliability, and SLA management
2. Collaboration with Analytics, Data Science, and Stakeholders and Data Enablement 30%
Develop and maintain enterprise datasets, models, and transformation frameworks while partnering with Analytics, Data Science, AI Initiatives, and Business teams to refine requirements, improve data accessibility, and deliver trusted datasets that support reporting, analytics, and operational decision-making.
Key Areas
Data modeling and warehousing
Data quality, governance, and documentation
Cross-functional collaboration with business, analytics and AI teams
Dataset refinement and business requirements gathering
Support for BI, AI/ML, and operational analytics initiatives
3. Architecture, Strategic Initiatives & Operational Excellence (20%)
Contribute to enterprise data platform and strategy through participation in large-scale initiatives, complex integration design, and modernization of data infrastructure. Support scalable and reliable operations through DevOps, automation, CI/CD, and infrastructure management best practices.
Key Areas
Enterprise data architecture and integration design
Strategic technology evaluation and innovation
Infrastructure automation and CI/CD practices
Docker, Terraform, and deployment management
Agile/Scrum participation and operational support
Education
Undergraduate (Bachelor) Degree in MIS, Computer Science, Information Technology required
Work Experience
5 - 7 Years of experience developing ETL & System Integration pipelines required
5 - 7 Years of experience designing, building, and improving large data models in complex environments required
5 - 7 Years experience with Cloud Technologies like Airflow, Glue, or similar ETL Tools
5 - 7 Years of experience with SQL, Redshift, Snowflake or similar data warehouse solutions required
5 - 7 Years of experience developing complex Python code to support various integration needs
Travel
Travel up to 20% of the time; rarely travel
Great Incentives!
We care about the well-being and work-life balance of our valued associates! To show how much we care, we offer awesome incentives that include:
Full benefits package
Generous paid time off
401(k) with company match
Growth and advancement opportunities
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. Drug free workplace
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We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.
