Full-Time

Data Ops Engineer

Confirmed live in the last 24 hours

Hatch IT

Hatch IT

11-50 employees

Specialized recruitment for tech startups

Data & Analytics
Consulting

Compensation Overview

$100k - $160kAnnually

Senior, Expert

Annapolis, MD, USA

Hybrid role requiring some in-office days.

US Top Secret Clearance Required

Category
Supply Chain Management
Operations & Logistics
Required Skills
Kubernetes
Microsoft Azure
Python
Airflow
OpenShift
MySQL
Apache Spark
Machine Learning
Java
Postgres
Docker
AWS
Elasticsearch
Scala
Jenkins
Hadoop
Linux/Unix
Google Cloud Platform

You match the following Hatch IT's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Top Secret with capability to obtain a CI Poly
  • Security+ certification (or willingness to get certified within the first month)
  • Associates degree or higher in engineering, computer science, or related field and 5+ years of experience as a DevOps/Cloud/Software engineer -OR- 8+ years of experience as a DevOps/Cloud/Software engineer
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong experience with relational databases (e.g., PostgreSQL, MySQL) and big data technologies (e.g., Hadoop, Spark).
  • Experienced with Elasticsearch and Cloud Search.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with data pipeline orchestration tools (e.g., Airflow, Luigi) and workflow automation tools (e.g., Jenkins, GitLab CI/CD).
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is a plus.
  • Data pipeline management
  • Proven experience maintaining production systems for external customers
  • Experience working with Open Source Technologies such as Red Hat (OpenShift) and Linux/Unix
  • Engaging with Data engineers in troubleshooting issues
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Responsibilities
  • Design, implement, and maintain robust data infrastructure, including databases, data warehouses, and data lakes, to support our rapidly expanding data landscape. You will engage and lead initiatives that enhance our data capabilities and drive innovation.
  • Develop, deploy, and test ETL pipelines for extracting, transforming, and loading data from various sources. You will ensure data quality and integrity, playing a key role in the accuracy of our analytical insights.
  • Collaborate with data scientists and data engineers to integrate and test machine learning models within our data systems, ensuring smooth functionality and high performance. This aspect of the role provides an exciting opportunity to work at the intersection of data engineering and machine learning.
  • Implement cutting-edge automation and orchestration tools to streamline data operations, minimize manual processes, and boost efficiency. Your contributions will significantly enhance our operational capabilities.
  • Continuously assess and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness. You will identify and resolve bottlenecks, ensuring that our systems can handle growing demands.
  • Establish proactive monitoring and alerting mechanisms to detect and address potential issues in real time. Your vigilance will help maintain high availability and reliability of our data systems.
  • Work closely with cross-functional teams—including data scientists, analysts, and software engineers—to understand evolving data requirements. You will be instrumental in delivering tailored solutions that align with business objectives.
  • Create comprehensive documentation of data infrastructure, pipelines, and processes. Help us promote a culture of continuous improvement by sharing knowledge and best practices within the team.
Desired Qualifications
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is a plus.

Hatch IT focuses on recruiting skilled engineers for tech startups and small businesses, ensuring candidates are both technically proficient and a good cultural fit. They operate without a commission-based model, prioritizing quality over quantity in their candidate selection. By integrating with clients' existing tools, Hatch IT streamlines the hiring process and offers predictable costs that save clients money compared to traditional recruitment fees. Their goal is to simplify hiring for tech companies, helping them efficiently find the best engineering talent.

Company Stage

N/A

Total Funding

N/A

Headquarters

McLean, Virginia

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for remote work solutions benefits Hatch IT's recruitment services.
  • The rise of AI-driven recruitment tools offers integration opportunities for Hatch IT.
  • Growing emphasis on diversity in tech hiring aligns with Hatch IT's services.

What critics are saying

  • AI-driven recruitment platforms increase competition for Hatch IT.
  • Global talent pool expansion challenges Hatch IT's local focus.
  • Economic downturns can reduce hiring budgets, impacting Hatch IT's revenue.

What makes Hatch IT unique

  • Hatch IT offers a subscription model for recruiting, marketing, and community engagement.
  • The company integrates with clients' tools like Slack and ATS for seamless operations.
  • Hatch IT focuses on quality over quantity, not being commission-based.

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Benefits

Premium insurance

Mental health days

Caregiver leave

Time off

Internet reimbursement

Savings plan

Anniversary reward program

Additional benefits