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Job Description

Shield Consulting Solutions is hiring a Senior Data Engineer in Annapolis Junction, MD (onsite) to build and optimize end-to-end analytics data pipelines.

Responsibilities

  • Apply extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing
  • Design, implement, and optimize data ingress and egress pathways for efficient, scalable, and reliable processing of analytics workloads

Requirements

  • Minimum 7 years of relevant experience
  • Bachelor’s degree in a technical discipline
  • Experience using the Linux CLI and Linux tools
  • Experience developing Bash scripts to automate manual processes
  • Recent software development experience using Python and Java
  • Experience with Apache Airflow including DAG design, scheduling, operators, and sensors for orchestrating and monitoring complex workflows
  • Experience with distributed big data processing engines, including Apache Spark
  • Familiarity with SQL technologies including MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
  • Experience using Jupyter Notebook
  • Experience with data wrangling and preprocessing using pandas and NumPy
  • Experience working with structured, semi-structured, and unstructured data formats including Parquet, JSON, CSV, and XML
  • Familiarity with data quality concepts, data validation, and anomaly detection
  • Experience with Git source control
  • Familiarity with HPC job scheduling tools including Slurm
  • Experience with the Atlassian Tool Suite including JIRA and Confluence

Technologies

  • Apache Spark
  • Apache Airflow
  • Linux CLI
  • Bash
  • Python
  • Java
  • MySQL
  • MariaDB
  • PostgreSQL
  • Jupyter Notebook
  • pandas
  • NumPy
  • Parquet
  • JSON
  • CSV
  • XML
  • Git
  • Slurm
  • JIRA
  • Confluence

Compensation

  • $230,000 - $240,000 per year (USD)

Benefits

  • 25 days PTO
  • 11 paid holidays
  • 100% employer-paid healthcare for employees and dependents, available day 1
  • 8% 401(k) employer match with immediate vesting

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