Data Engineer Lead - Culinovo - Hybrid in Silver Springs, MD, US | Dice.com

Culinovo

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Data Engineer Lead

Hybrid in Silver Springs, MD, US • Posted 2 days ago • Updated 2 hours ago

Contract W2

Contract Independent

On-site

BASED ON EXPERIENCE

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Culinovo

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Job Details

Skills

DATABRICKS
PYTHON
AZURE

Summary

Job Title: Data Engineer Lead
Location: Silver Springs, MD (Onsite 20% & Remote 80%)
Employment Type: W2 Only
Eligibility: s / s
Experience Required: 12+ Years in IT

Job Summary:
We are seeking an experienced Data Engineer Lead to design, optimize, and deliver scalable, enterprise-grade data solutions across analytics, BI, and AI/ML workloads. This role requires advanced expertise in Databricks, Azure, Python, SQL, and Apache Spark, along with strong CI/CD, DevOps, and data governance practices. The ideal candidate will lead development efforts, architect cloud-native data platforms, and mentor junior engineers.

Key Responsibilities:
Data Engineering & Architecture

Design, build, and optimize scalable data pipelines for analytics, AI/ML models, and business intelligence workloads.
Architect and implement ETL/ELT pipelines for multi-source structured, semi-structured, and streaming data.
Develop enterprise-level data solutions using Azure & Databricks.

Cloud, Databricks & Spark

Lead production-grade pipeline orchestration using Databricks Workflows.
Utilize Apache Spark / PySpark for distributed data processing and real-time analytics.
Implement solutions leveraging Azure Cloud services including:
- Azure Data Factory
- Azure Data Lake
- Azure Synapse Analytics
- Azure Key Vault
- Azure Monitor

Programming & Automation

Write optimized and high-quality Python & SQL code for ingestion, transformation, analytics, and ML workflows.
Implement CI/CD automation using Terraform, GitHub Actions, and Azure DevOps.
Build and consume RESTful APIs, including OAuth-based authentication and JSON-based integrations.

Data Governance & Security

Implement and enforce data governance frameworks including data quality, cataloging, lineage, and compliance standards.
Ensure security and compliance across cloud data platforms.

Pipeline Orchestration & Streaming

Build and maintain batch & streaming pipelines using Structured Streaming, Airflow, and Kafka.
Ensure high availability, scalability, and reliability of data pipelines.

Leadership & Mentorship

Lead technical design discussions and code reviews.
Mentor junior data engineers and enforce industry best practices.

Required Skills & Experience:

12+ years of IT experience with at least 5+ years in modern cloud data engineering.
Strong experience in:
- Databricks (Workflows, Delta Lake, Spark)
- Azure Cloud ecosystem
- Python & SQL
- Apache Spark / PySpark
- CI/CD (Terraform, GitHub Actions, Azure DevOps)
- Data governance, quality, lineage & cataloging
- ETL/ELT design and orchestration
- RESTful API integration & OAuth authentication
Experience leading teams or mentoring engineers.

Preferred Qualifications:

Experience with real-time analytics and large-scale distributed systems.
Knowledge of ML pipelines and MLOps concepts.
Strong analytical, communication, and problem-solving skills.

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: 91165327
Position Id: 25-00096
Posted 2 days ago

Company Info

About Culinovo

Empowering businesses through innovative IT solutions, Culinovo IT Consulting is dedicated to transforming your technology landscape. We streamline operations for enhanced efficiency and productivity, with our expert team providing tailored strategies for your unique needs. Experience your path to digital excellence with Culinovo, where we make technology work for you.

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Data Engineer Lead

Culinovo

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