Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
The team
You will join a team that designs and delivers data engineering solutions that help organizations modernize data platforms and enable analytics, automation, and business insight. The team works across the data lifecycle, including ingestion, transformation, storage, quality, and delivery of data products. Team members collaborate with engineers, analysts, and business stakeholders to build scalable, reliable, and secure solutions.
Qualifications
Required
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
1+ years of experience developing and deploying solutions on the Databricks platform
1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred
Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
1+ years of experience with workflow orchestration tools such as Apache Airflow
1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
1+ years of experience with version control and continuous integration tools
1+ years of experience supporting data quality, metadata, and data lineage processes
1+ years of experience working in Agile delivery environments
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,400 to $140,600.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
