Data Engineer

Data Engineer | Metropark, New Jersey

Hybrid | $88,000–$105,000 Base + Bonus

We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.

Key Responsibilities

• Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
• Ingest and organize raw data within the Bronze layer
• Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
• Develop SQL and PySpark transformations based on defined business and technical requirements
• Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
• Work with structured and semi-structured data within cloud-based data environments
• Collaborate closely with senior data engineers to learn and apply modern data engineering practices
• Contribute to scalable and reliable data solutions using version-controlled development practices

Required Qualifications

• 0–2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
• Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
• Experience with Python and an understanding of basic object-oriented programming concepts
• Understanding of core data concepts, including tables, schemas, relational databases, and data structures
• Familiarity with Git or demonstrated ability to quickly learn version-control practices
• Strong interest in developing expertise across Databricks, Spark, and cloud technologies
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Exposure to Databricks, Apache Spark, or PySpark
• Understanding of Delta Lake or medallion architecture
• Experience with Azure, AWS, or GCP
• Databricks certification
• Exposure to BI, reporting, or data visualization tools
• Academic or project experience building data pipelines or working with data transformation workflows

Compensation & Work Arrangement

Salary: $88,000–$105,000 base salary + discretionary bonus

Work Arrangement: Hybrid

This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.

Interested in learning more? Apply directly for additional information.

Data Engineer | Hybrid | Metropark, New Jersey