data Engineer - INNOVIT USA INC - | Dice.com

INNOVIT USA INC

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data Engineer

• Posted 13 hours ago • Updated 15 minutes ago

Full Time

Part Time

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Job Details

Skills

Recruiting
Employment Authorization
Data Analysis
Reporting
ELT
Unstructured Data
Data Integrity
Flat File
Data Quality
Big Data
Apache Spark
Apache Hadoop
Databricks
Scalability
Documentation
Process Improvement
Regulatory Compliance
Privacy
HIPAA
System On A Chip
Computer Science
Information Systems
Data Engineering
Data Integration
Python
SQL
Scala
Extract
Transform
Load
Apache Airflow
Informatica
Talend
Data Warehouse
Amazon Redshift
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Amazon S3
Data Lake
Data Modeling
Star Schema
Snow Flake Schema
Database
PostgreSQL
MySQL
NoSQL
Version Control
Git
Continuous Integration
Continuous Delivery
Workflow
Problem Solving
Conflict Resolution
Collaboration
Streaming
Apache Kafka
Amazon Kinesis
Orchestration
Docker
Kubernetes
Machine Learning (ML)
Data Governance
Meta-data Management

Summary

Job Summary

Hiring W2 Candidates Only

Visa: Open To Any Visa Type With Valid Work Authorization In the USA

We are seeking a Data Engineer to design, develop, and optimize data pipelines and architectures that support data analytics, reporting, and machine learning workloads. The ideal candidate will have strong experience with big data tools, cloud data platforms, and modern data engineering practices.

Key Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data.
Develop and optimize data models, ensuring high performance and data integrity across systems.
Integrate data from diverse sources such as APIs, databases, flat files, and third-party systems.
Collaborate with data scientists, analysts, and business teams to understand data needs and deliver quality data solutions.
Implement data quality, validation, and governance frameworks to ensure reliable and consistent data.
Work with cloud data services (AWS, Azure, Google Cloud Platform) and big data frameworks (Spark, Hadoop, Databricks, etc.).
Automate and monitor data workflows for fault tolerance, scalability, and security.
Participate in code reviews, documentation, and process improvement initiatives.
Ensure compliance with data privacy and security standards (e.g., GDPR, HIPAA, SOC 2).

Required Skills and Qualifications

Bachelor s or Master s degree in Computer Science, Information Systems, or related field.
3+ years of experience in data engineering or data integration roles.
Strong programming skills in Python, SQL, or Scala.
Hands-on experience with ETL tools (e.g., Apache Airflow, AWS Glue, Informatica, Talend).
Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, Synapse).
Knowledge of cloud platforms AWS, Azure, or Google Cloud Platform data services (e.g., S3, Data Lake, Dataproc, Data Factory).
Familiarity with data modeling (star schema, snowflake schema) and database systems (PostgreSQL, MySQL, NoSQL).
Proficient with version control (Git) and CI/CD pipelines for data workflows.
Strong problem-solving and collaboration skills.

Preferred / Nice-to-Have

Experience with streaming data (Kafka, Kinesis, Pub/Sub).
Exposure to containerization and orchestration (Docker, Kubernetes).
Understanding of machine learning data pipelines and feature engineering.
Knowledge of data governance tools (e.g., Collibra, Alation) and metadata management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90737436
Position Id: OOJ - 6768-5772-1762353422
Posted 13 hours ago

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