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Remote Data Optimization Jobs in Washington (NOW HIRING)

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

This role is open to remote candidates in the U.S. and Ontario, Canada. You're also welcome in any ... Drive performance, cost optimization, scalability, and maintainability across data engineering ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

IT Labs

Lead Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Lead the design, development, and optimization of scalable data platforms and pipelines. * Design ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Nüvitek

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... and optimal performance. * Analyze methods for transforming existing data into new environment ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Washington? The most popular types of Data Optimization jobs in Washington are:
What are popular job titles related to Remote Data Optimization jobs in Washington? For Remote Data Optimization jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Washington look for? The top searched job categories for Remote Data Optimization jobs in Washington are:
What cities in Washington are hiring for Remote Data Optimization jobs? Cities in Washington with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Architect, Data Engineering

Architect, Data Engineering

Lovelytics

Arlington, VA • On-site, Remote

$170K - $190K/yr

Full-time

Posted 11 days ago

Job description

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we\'ve delivered over $2B in business value for Fortune 500 clients.

In the last year, Lovelytics as grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks\' top partners.

We’re looking for a Data Engineering Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across industries. This role is deeply hands-on in data engineering architecture, helping clients modernize their data to improve business outcomes.

You’ll define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. You’ll also partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise.

This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto!

Primary Responsibilties
  • Formulate forward-looking data strategies aligned with client business objectives and industry best practices
  • Design and oversee large-scale lakehouse and warehouse implementations on Databricks (must-have) and other cloud-native technologies
  • Create solutions that integrate on-premises and multiple cloud environments seamlessly.
  • Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns
  • Ensure security, privacy, compliance, and data quality at scale on client engagements
  • Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery
  • Introduce emerging technologies and methodologies to keep client solutions at the cutting edge.
  • Drive performance, cost optimization, scalability, and maintainability across data engineering solutions
  • Mentor engineers, review architectures and code, and guide teams through implementation.
  • Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements
  • Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering and architecture, including large-scale cloud deployments 
  • 4+ years in a client facing role, preferably in a professional services firm
  • Proven track record designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP
  • Expert knowledge of Databricks and Spark (required)
  • Experience creating proofs of concept, technical presales presentations, and pricing for engagements
  • Strong client-facing communication skills with the ability to influence technical and executive stakeholders
  • A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. 

Remote Roles$170,000—$190,000 USD

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability. 

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