EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.   

As a big data engineer at EverWatch, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.  

Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.  

Work with us to use big data for good.

You Have:

• 3+ years of experience using Python, SQL, and PySpark
• 3+ years of experience utilizing Databricks or Apache Spark
• Experience designing and maintaining Data Lakes or Data Lakehouses
• Experience with big data tools such as Spark, NiFi, Kafka, Flink, or others at multi-petabyte scale
• Expertise in designing and maintaining ETL/ELT data pipelines utilizing storage/serialization formats/schemas such as Parquet and Avro
• Experience administrating and maintaining data science workspaces and tool benches for Data Scientists and Analysts.
• Secret Clearance
• HS diploma or GED
• DoD8570 IAT II Compliance Certification (Such as Security+, CCNA Security, GSEC, etc.)

Nice if You Have:

• Experience with Apache NiFi, multi-cluster or containerized environment experience preferred
• Knowledge of cybersecurity concepts, including threats, vulnerabilities, security operations, encryption, boundary defense, auditing, authentication, and supply chain risk management
• Experience applications, appliances, or machines aligned to DoD/DISA Security Technical Implementation Guidelines (STIG) and Security Requirements Guides (SRG)
• Experience writing playbooks and scripts for automation tools including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC)
• Experience working on real-time data and streaming applications 
• Bachelor’s Degree

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,143.26 /year in our lowest geographic market up to $165,143.26 /year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of full paid medical, financial, and/or other benefits. Applicants should apply via our internal or external career site. https://everwatch-everwatchsolutions.icims.com/jobs/intro?hashed=-625973197&mobile=false&width=1090&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240