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Observability Engineer Jobs in Washington (NOW HIRING)

Geico

Staff Engineer, Hybrid Cloud Fabric

Washington, DC · Hybrid

  • Retirement

Staff Engineer - Multi-Cloud Service Mesh Position Summary: Become a key player in GEICO's tech ... Develop comprehensive monitoring and observability dashboards to provide deep insights into service ...

GEICO

Sr. Software Engineer

Bethesda, MD · On-site

$131K - $172K/yr

  • Retirement

The ideal candidate has deep technical expertise in the Open-Source Observability, Data platform domain. Position Responsibilities As a Senior Engineer, you will: * Focus on Single or multiple areas ...

Geico

Sr. Software Engineer

Bethesda, MD · On-site

$131K - $172K/yr

  • Retirement

The ideal candidate has deep technical expertise in the Open-Source Observability, Data platform domain. Position Responsibilities As a Senior Engineer, you will: * Focus on Single or multiple areas ...

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Observability Engineer information

See Washington salary details

$24

$69

$114

How much do observability engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for observability engineer in Washington is $69.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.81 and $79.75 per hour, depending on experience, location, and employer.

What does an observability engineer do?

An Observability Engineer is responsible for designing, implementing, and maintaining monitoring, logging, and tracing systems to ensure the health, performance, and reliability of applications and infrastructure. They work with tools like Prometheus, Grafana, OpenTelemetry, and ELK to collect and analyze telemetry data. Their goal is to provide visibility into system behavior, detect and diagnose issues quickly, and improve overall system observability. They collaborate with developers, SREs, and operational teams to create automated and scalable observability solutions.

What are the key skills and qualifications needed to thrive as an observability engineer?

To thrive as an Observability Engineer, you need a solid understanding of monitoring, logging, and tracing systems, as well as expertise in programming, cloud infrastructure, and incident response. Proficiency in tools like Prometheus, Grafana, ELK stack, and familiarity with cloud platforms such as AWS, Azure, or GCP are commonly required, and certifications like AWS Certified DevOps Engineer can be advantageous. Strong analytical thinking, collaborative skills, and effective communication are essential soft skills for diagnosing issues and working across development and operations teams. These competencies are vital for proactively maintaining system reliability, ensuring performance, and resolving complications before they impact business operations.

What are the most commonly searched types of Observability Engineer jobs in Washington? The most popular types of Observability Engineer jobs in Washington are:
What are popular job titles related to Observability Engineer jobs in Washington? For Observability Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Observability Engineer jobs in Washington look for? The top searched job categories for Observability Engineer jobs in Washington are:
What cities in Washington are hiring for Observability Engineer jobs? Cities in Washington with the most Observability Engineer job openings:
Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $144,430 per year, or $69.4 per hour.

Sales Engineer - Hadoop Observability & Open Data Platform

Acceldata

Washington, DC • On-site

Full-time

Re-posted 13 days ago

Job description

Position Summary
Acceldata is seeking a dynamic and results-oriented Sales Engineer to join our high-performing team. As a Sales Engineer, you will play a crucial role in driving the success of our Acceldata solutions (Hadoop Observability & Open Data Platform). You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively.
We're looking for someone who can:
  • Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions.
  • Develop, customise, and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges.
  • Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper, etc.) & their working architecture, usage & workflow.
  • Hands-on experience with at least one of the following:  Apache Spark, Trino, Jupyter and Airflow
  • Partner with the Enterprise and Strategic Accounts teams to identify prospects' environments and technical requirements to pursue tailored sales strategies, providing technical expertise to help close deals effectively.
  • Work closely with customers to design and develop solutions tailored to their data environments and technical requirements. 
  • Develop comprehensive technical proposals & assist with crafting statements of work (SOWs).
  • Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to stakeholders.
  • Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots.
  • Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success.
  • Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects.
  • Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.
  • Partner with AE's and sales managers to ensure deal qualification - making sure a strong solution and technical fit before significant technical investment.
What makes you the right fit for this position?
  • 12+ years of experience in a SaaS and Data Industry Sales Engineering role.
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure. 
  • Hands-on experience with cloud platforms, including Databricks or Snowflake.
  • Hands-on experience with data observability, data monitoring, data integration, and/or data quality products.
  • Strong understanding of data observability trends, challenges, & opportunities in the industry.
  • Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences.
  • Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions.
  • Ability to analyze customer data scenarios & recommend suitable observability strategies.
  • "Growth mindset" - learn from mistakes, stay positive, find a path to win, look to the future, learn from the past.
  • Proactive self-starter with inherent motivation to meet and exceed performance goals.
  • Ability to work in a fast-paced and dynamic team environment.
  • Travel up to 50% meeting with qualified prospects as well as customers.
  • Willingness to do "whatever it takes" to WIN.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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