Data Engineer – Sr
Job ID: 35516
Date Added: 08/21/2025
Remote Position
W2 Contract
Job Description
Primarily by building, aggregating, and manipulating rich datasets that will support the analysis, models, and data visualizations developed by the rest of the team. You will work primarily with software developers, database architects, data analysts, data scientists, and other data engineers.
Key Responsibilities include, but are not limited to:
Data Pipeline
- Build robust data pipelines: develop jobs to process, validate, transport, collate, aggregate, and distribute data.
- Build workflows that empower analysts to efficiently use data.
- Develop data virtualizations and actual data movement and transformation processes, using the appropriate technologies, tools, and techniques to balance performance and cost objectives.
- Deploy machine learning models as batch and API.
Operations, Monitoring, and Quality Control
- Define and establish processes to maintain the integrity of data within our data pipeline and warehouse.
- Develop tests to validate and monitor data transfer integrity and efficiency.
- Work collaboratively across the organization to address and predict data performance issues.
- Develop documentation for the tools and data products deployed.
Required Qualifications
- Strong SQL writing skills, Oracle databases, Oracle PL/SQL, Oracle Performance Tuning, SQL Server Performance Tuning, SQL Server databases, Transact-SQL, Tableau Prep, Epic Clarity.
- Sound understanding of areas of computer science such as algorithms, data structures, and databases.
- Experience with relational databases.
- Software engineering experience with expertise in at least one high-level programming language (preferably Python).
- Experience with Linux command line and bash scripting.
- Knowledge of distributed computing frameworks (e.g., MapReduce, HDFS).
Preferred Qualifications
- SAS, PowerAutomate, Python, R, Tableau, Power BI.
- Experience working with Microsoft Azure cloud services.
- Experience with Docker containers.
- Experience with DevOps tools and processes.
- Experience with orchestration tools.
- Experience with Apache Spark.
- Bachelor’s in computer science or related fields.
Top Three Things Worker Will Be Doing
- Developing data models / data sets
- Producing insights based on data
- Data discovery / exploration
The hourly pay range for this position (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location) is $65.00 to $70.00/hr. Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.
Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
For immediate consideration, please forward your resume to ccifreo@synergishr.com
If you require assistance or an accommodation in the application or employment process, please contact us at ccifreo@synergishr.com.
Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at www.synergishr.com.