Databricks Engineer

Hybrid in Washington D.C., DC, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Independent
Contract Corp To Corp
12 Months
Hybrid
$50+
Fitment

Dice Job Match Score™

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Job Details

Skills

  • "Databricks Certified Data Engineer Professional"
  • Databricks
  • Delta Lake
  • Lakehouse Architecture
  • Data Engineering
  • Data Pipelines
  • ETL
  • ELT
  • Data Ingestion
  • Data Transformation
  • Data Curation
  • Data Storage
  • PySpark
  • Apache Spark
  • Spark SQL
  • SQL
  • Python
  • AWS
  • Amazon Web Services
  • S3
  • AWS S3
  • AWS Glue
  • AWS Lambda
  • AWS Kinesis
  • Amazon Kinesis
  • Amazon Redshift
  • Kafka
  • Apache Kafka
  • Streaming Data
  • Real-Time Processing
  • Batch Processing
  • Databricks Structured Streaming
  • Data Lakehouse
  • Distributed Data Processing
  • Big Data
  • Data Platform Engineering
  • Data Architecture
  • Pipeline Development
  • Data Modeling
  • Data Governance
  • Data Lineage
  • Metadata Management
  • Unity Catalog
  • RBAC
  • Data Security
  • Data Masking
  • Encryption
  • Cloud Data Engineering
  • Performance Tuning
  • Spark Optimization
  • Cost Optimization
  • CI/CD
  • DevOps
  • Git
  • GitHub
  • Jenkins
  • Agile
  • Data Quality
  • Monitoring
  • Troubleshooting
  • BI Tools
  • Power BI
  • Tableau
  • Data Analytics
  • Machine Learning Data Pipelines
  • AI/ML Enablement
  • Data Warehouse
  • Data Lake
  • Redshift

Summary

Job Title: Databricks Engineer
Location: Wilmington, DE / Philadelphia, PA / Washington, DC (Local Candidates Only)
Duration: 12+ Months

Must have "Databricks Certified Data Engineer Professional certification'

Key Responsibilities:

Design, develop, and maintain scalable end-to-end data pipelines using Databricks, Delta Lake, PySpark, SQL, and AWS.

Build batch, real-time, and streaming data solutions using Kafka, AWS Kinesis, and related technologies.

Implement data ingestion, transformation, curation, and storage frameworks within a Databricks Lakehouse architecture.

Optimize Spark jobs, troubleshoot production issues, and ensure data quality, governance, lineage, and reliability.

Develop secure, scalable, and cost-efficient solutions leveraging AWS S3, Glue, Lambda, Kinesis, and Redshift.

Implement security controls including RBAC, encryption, and data masking.

Follow CI/CD, DevOps, and data engineering best practices using Git and automation tools.

Collaborate with BI, Analytics, Data Science, and business stakeholders to deliver curated datasets supporting reporting and AI/ML initiatives.

Lead architecture, design, and implementation of enterprise data solutions while driving Lakehouse best practices.

Mentor engineers, conduct code reviews, establish development standards, and oversee sprint planning and delivery.

Partner with cloud, security, and platform teams to ensure compliance, governance, and operational excellence.

Support analytics initiatives using Power BI and Tableau.

Required Qualifications;

Strong hands-on experience with Databricks.

Expertise in Python, PySpark, SQL, and distributed data processing.

Extensive experience with AWS services including S3, Glue, Lambda, Kinesis, and Redshift.

Strong experience building and supporting ETL/ELT pipelines.

Deep understanding of Delta Lake and Lakehouse Architecture.

Experience with both streaming and batch processing frameworks.

Knowledge of CI/CD, Git, performance tuning, and troubleshooting.

Experience with Power BI and Tableau.

Databricks Certified Data Engineer Professional certification is mandatory.

About IDEXCEL, INC
Idexcel is an IT services organization, with a mission to bring great people and great organizations together. Our diverse client base represents a wide range of industries, including technology, telecom, insurance, healthcare, manufacturing, banking & financial services, food & commodities trading and federal organizations. Our teams of experienced recruiters directly work with client companies seeking exceptional people to help with their business initiatives. Idexcel, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.

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: eveva001
  • Position Id: IDXL_BH_0612
  • Posted 1 day ago
Contact the job poster
Sadanand Gadipe

Sadanand Gadipe

Technical Recruiter @ Idexcel Inc.
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