Data-Senior Data Engineer–CL at Endava

Deerfield, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Apache Spark, Python, ETL, ELT, Data Pipelines, Snowflake, SQL, Cloud Data Technologies, Hadoop, BigQuery, Redshift, Kinesis, Kafka, Batch Processing, Serverless Processing

Industry

IT Services and IT Consulting

Description

Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. Responsibilities: Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports. Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment. Propose solutions for the cloud-based architecture and deployment flow. Design and build processes, data transformation, and metadata to meet business requirements and platform needs. Design and propose solutions for the Relational and Dimensional Model based on platform capabilities. Develop, maintain, test, and evaluate big data solutions. Focus on production status and data quality of the data environment. Pioneer initiatives around data quality, integrity, and security. Qualifications Required: 5+ years of experience in Data Engineering. Proficiency in Apache Spark Proficiency in Python. Some experience leading IT projects and stakeholder management. Experience implementing ETL/ELT process and Data pipelines. Experience with Snowflake. Strong SQL scripting experience. Background and experience with cloud data technologies and tools. Familiar with data tools and technologies like: Spark, Hadoop, Apache beam, Dataproc or similar. BigQuery, Redshift, or other Data warehouse tools. Real-time pipelines with Kinesis or Kafka. Batch processing. Serverless processing. Strong analytic skills related to working with structured and unstructured data sensibilities. Must be able to work onsite 2-3 days a week Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Employee Requirements Participation in both internal meetings and external meetings via video calls, as necessary. Ability to go into corporate or client offices to work onsite, as necessary. Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. Ability to bend, kneel, crouch, and reach overhead, as necessary. Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options Flexible Spending Accounts (Medical, Transit, and Dependent Care) Employer Paid Life Insurance and AD&D Coverages Health Savings account paired with our low-cost High Deductible Medical Plan 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Responsibilities

The Data Engineer will work closely with Data Analysts and Data Scientists to define data processing flows and interactive reports. They will design and build data transformation processes and ensure data quality and integrity within the data environment.