Sr. Data Engineer

A BIT ABOUT WAVICLE
Wavicle Data Solutions is a founder-led, high-growth consulting firm helping organizations unlock the full potential of cloud, data, and AI. We’re known for delivering real business results through intelligent transformation—modernizing data platforms, enabling AI-driven decision-making, and accelerating time-to-value across industries.
At the heart of our approach is WIT—the Wavicle Intelligence Framework. WIT brings together our proprietary accelerators, delivery models, and partner expertise into one powerful engine for transformation. It’s how we help clients move faster, reduce costs, and create lasting impact—and it’s where your ideas, skills, and contributions can make a real difference.
Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure, enabling us to deliver cutting-edge solutions built on the best technologies the industry has to offer.
With over 500 team members across 42 cities in the U.S., Canada, and India, Wavicle offers a flexible, digitally connected work environment built on collaboration and growth.
We invest in our people through: -Competitive compensation and bonuses -Unlimited paid time off -Health, retirement, and life insurance plans -Long-term incentive programs -Meaningful work that blends innovation and purpose
If you’re passionate about solving complex problems, exploring what’s next in AI, and being part of a team that values delivery excellence and career development—you’ll feel right at home here.
THE OPPORTUNITY
Wavicle Data Solutions, LLC seeks a Sr. Data Engineer in Oak Brook, IL.

WHAT YOU WILL GET TO DO

• Create the conceptual, logical and physical data models.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc.
• Lead and/or mentor a small team of data engineers.
• Design, develop, test, deploy, maintain and improve data integration pipeline.
• Develop pipeline objects using Apache Spark / Pyspark / Python or Scala.
• Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services.
• Load and performance test data pipelines built using the abovementioned technologies.
• Communicate effectively with client leadership and business stakeholders.
• Participate in proposal and/or SOW development.
• Utilize Big Data technologies to architect and build a scalable data solution.
• Identify any gaps and work with the client to resolve in a timely manner.
• Stay current with technology trends in order to make useful recommendations to match the client requirements.
• Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problem.
• Participate in pre-sales activities, including proposal development, RFI/RFP response, shaping a solution from the client’s business problem.
• Act as a thought leader in the industry by creating written collateral (white papers or POVs), participate in speaking events, create/participate in internal and external events (lunch ‘n learns, online speaking events, etc.).

WHAT YOU BRING TO THE TEAM

• Master’s Degree in Computer Science, Computer Engineering, Computer Application, Information Systems, or a directly related field, or the equivalent and 2+ years of experience in related occupations.
• 2 + years of experience in the following:
• One or more of the following ETL tools to build data pipelines/data warehouses: Talend Big Data, Informatica, DataStage, or Abinitio
• Programming using Scala, Python, R, or Java
• ETL pipeline implementation using one or more of the following AWS services: Glue, Lambda, EMR, Athena, S3, SNS, Kinesis, Data-Pipelines, or Pyspark
• Using real-time streaming systems: Kafka/Kafka Connect, Spark, Flink or AWS Kinesis
• Implementing big-data solutions in the Hadoop ecosystem: Apache Hadoop, MapReduce, Hive, Pig, Sqoop, NoSQL, or Databricks
• One or more of the following databases: Snowflake, AWS Redshift, Oracle, SQL Server, Teradata, Netezza, Hadoop, Mongo DB or Cassandra
• Building conceptual, logical or physical database designs using the following tools: ErWin, Visio or Enterprise Architect
• Designing and implementing data pipelines in on-prem and cloud environment.


• Telecommuting is permitted. 40 hours/week. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref# 86603 for consideration.

WAVICLE BENEFITS

• Health Care Plan (Medical, Dental & Vision)
• Retire