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Associate Data Engineer information
See Baltimore, MD salary details
$9.79 - $11.68
6% of jobs
$11.68 - $13.57
3% of jobs
$15.31 is the 25th percentile. Wages below this are outliers.
$13.57 - $15.46
17% of jobs
The median wage is $17.03 / hr.
$15.46 - $17.35
28% of jobs
$19.17 is the 75th percentile. Wages above this are outliers.
$17.35 - $19.24
21% of jobs
$19.24 - $21.13
8% of jobs
$21.13 - $23.02
7% of jobs
$23.02 - $24.91
5% of jobs
$24.91 - $26.79
2% of jobs
$26.79 - $28.68
1% of jobs
$28.68 - $30.57
0% of jobs
$9
$18
$30
How much do associate data engineer jobs pay per hour?
What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?
What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?
What does an Associate Data Engineer do?
What is the difference between Associate Data Engineer vs Data Engineer?
| Aspect | Associate Data Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and Python | Bachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms |
| Work Environment | Entry-level, team-focused, often in tech or finance industries | Mid to senior level, designing and maintaining data pipelines in various industries |
| Employer & Industry Usage | Common in tech companies, startups, and finance firms | Used across industries for building scalable data infrastructure |
| Common Search & Comparison | Often compared for career progression and skill requirements |
The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.
$245K/yr
Other
Posted 13 days ago
Job description
We are seeking an advanced Security Data Analytics Engineer to build, optimize, and operate the data layer powering a cryptographic discovery and quantum-vulnerability detection platform. This role demands deep expertise in large-scale data pipeline engineering, custom detection algorithm development, and security analytics at scale. The right candidate combines the rigor of a data engineer with the instincts of a security analyst, and can turn raw cryptographic telemetry into actionable operational intelligence.
  Design, build, and optimize high-throughput data ingestion pipelines using Apache Kafka for real-time telemetry streaming.
  Develop large-scale transformation and enrichment workflows on Databricks / Apache Spark; ensure pipeline reliability, observability, and performance at enterprise scale.
  Maintain data quality, schema governance, and lineage documentation across all pipeline stages
  Write and deploy custom detection algorithms targeting non-compliant cryptographic protocols - including outdated TLS versions, weak SSH key configurations, and deprecated cipher suites.
  Develop detection logic for quantum-vulnerable algorithms (e.g., RSA, ECC) across enterprise network traffic and cryptographic inventories.
  Continuously tune detection models based on operational feedback, false positive rates, and evolving threat intelligence.
  Partner directly with DoW threat hunters to translate raw cryptographic discovery data into structured, analyst-ready datasets.
  Build and maintain interactive dashboards (Tableau, Grafana) for executive reporting on cryptographic posture and quantum-vulnerability exposure.
  Develop and document analytic methodologies; produce findings briefs and technical reports for government stakeholders.
REQUIRED:Â
  Active TS/SCI clearance (no exceptions).
  5+ years of data engineering or security analytics experience, including production-grade pipeline development.
  Advanced proficiency in SQL and Python - including pandas, PySpark, and data manipulation at scale.
  Hands-on experience with Databricks and/or Apache Spark for large-scale data transformation.
  Working knowledge of Apache Kafka for real-time streaming ingestion.
  Deep familiarity with security log formats, cryptographic protocols (TLS, SSH, PKI), and network telemetry.
NICE TO HAVE:Â
  Experience building cryptographic discovery or PKI inventory tooling.
  Familiarity with post-quantum cryptography (PQC) standards (NIST SP 800-208 / FIPS 203/204/205) and quantum-vulnerable algorithm identification.
  Experience developing dashboards in Tableau and/or Grafana for executive-level consumption.
  Background in threat hunting, SIEM engineering, or security operations analytics.
  Databricks Certified Associate Developer for Apache Spark or equivalent certification.
Salary Range: $220 - 245K
About Aperio Global
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
1 - 10 Employees
Headquarters location
Chantilly, VA, US
Year founded
2019