Neo4J Senior Developer (Remote)

Cognizant; Chicago (IL); Remote; USD 100,000 - 120,000; Full time

Job summary

Cognizant is seeking a Senior Data Engineer in Chicago to design and maintain ETL/ELT workflows using Azure technologies. The ideal candidate will have over 6 years of experience in data engineering, proficient in SQL and cloud technologies, and capable of collaborating with cross-functional teams to deliver impactful data solutions. This role offers a competitive salary, benefits, and opportunities for professional growth.

Benefits

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Qualifications

• 6+ years of experience in data engineering and software development.
• Proficiency in Azure and ETL/ELT workflows.
• Strong experience with SQL and data modeling.

Responsibilities

• Design and maintain ETL/ELT workflows using PySpark, Python, and SQL.
• Manage data ingestion and transformation in Azure.
• Collaborate with teams to support machine learning pipelines.

Skills

ETL/ELT workflows

Data modeling

SQL

Problem-solving

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

Tools

Azure

Snowflake

Power BI

Neo4j

Job description

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all committed, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to craft the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informational, relevant intelligence.

We are seeking a highly skilled Senior Data Engineer with over 6 years of experience in data engineering and software development across finance and logistics domains. The ideal candidate will be proficient in leveraging cloud technologies, particularly Azure, and adept at designing and developing ETL/ELT pipelines. This role involves collaborating with cross-functional teams to deliver impactful data solutions and drive business value.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT workflows using PySpark, Python, and SQL across modern architectures including Data Lakes, Lakehouse, and Warehousing models.
• Manage ingestion, transformation, validation, and profiling of large datasets in Azure cloud ecosystems.
• Develop and optimize SQL for data modeling, transformation, and reporting in Snowflake data warehousing.
• Write and tune complex queries in SQL, PLSQL, Cypher, GSQL, and KQL for relational and graph databases such as SQL Server, Neo4j, and Tigergraph.
• Implement and monitor CI/CD pipelines using Azure DevOps, Apache Airflow, Git, and Logic Apps.
• Create and monitor BMC jobs, write stored procedures, and generate meaningful business reports.
• Collaborate with data scientists, business analysts, data analysts, and DevOps engineers to support machine learning pipelines and REST API integration using Flask.
• Utilize visualization tools like Power BI and graph-based tools like Neo4j Bloom to present data insights.
• Solve complex data structure and algorithm problems, showcasing strong problem-solving skills and algorithmic thinking in production data workflows.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 6+ years of experience in data engineering and software development.
• Proficiency in cloud technologies, particularly Azure (Microsoft Fabric, Azure Databricks, Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL/Cosmos DB, ADF triggers & monitoring, CI/CD with Azure DevOps).
• Strong experience with ETL/ELT workflows using PySpark, Python, and SQL.
• Expertise in Snowflake data warehousing and advanced SQL techniques.
• Deep knowledge of relational and graph databases (SQL Server, Neo4j, Tigergraph).
• Experience with data modeling, query optimization, and monitoring tools.
• Familiarity with machine learning workflows and performance tuning.
• Excellent collaboration and communication skills.

Applications will be accepted until 5/23/2025.

The annual salary for this position is between $100,000 - $120,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.