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Adata Technology Jobs (NOW HIRING)

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology and a seamless customer experience . With tens of billions in funded home loans and top ratings on ...

GDIT

Data Scientist-Junior

Jacksonville, NC · On-site

$68K - $92K/yr

Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users tooperatesmarter, faster ...

GDIT

Data Governance & Quality Analyst

Falls Church, VA · On-site +1

$111K - $150K/yr

Here, technologists have many paths to grow a meaningful career supporting cyber missions and operations across the federal government. TheAdvanateam is seeking aData Governance & Quality Analyst to ...

Fluence

Internal Audit Manager

Arlington, VA · On-site

$116K - $154K/yr

Evaluate processes across functions such as supply chain, manufacturing, finance, technology, and operations * Leverage dataand technologyto enhance audit effectiveness: Utilizedata analyticsand ...

New

MAP SSG

Data Engineer

Manhattan, NY · On-site

$60/day

Develop and manage data infrastructure using modern data stack technologies (Postgres, Databricks, Redshift, or similar warehouses). * Model complex healthcare domains (RCM workflows, clinical ...

Gilead

Scientist, Analytical Ops

Foster City, CA

$146K - $189K/yr

Stay current with emerging technologies and industry trends and apply advancements to improve analytical capabilities. Basic Qualifications: * BSc with at least 8 years of relevant experience OR

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission ...

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How much do adata technology jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for adata technology in the United States is $32.88, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $38.46 per hour, depending on experience, location, and employer.

What is the difference between Adata Technology vs Data Analyst?

AspectAdata TechnologyData Analyst
Required CredentialsTypically requires a degree in computer science, information technology, or related fields; certifications like CompTIA, Cisco, or cloud certifications are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentOften in IT departments, data centers, or technology firms; involves technical setup and maintenancePrimarily in offices or remote settings; involves analyzing data, creating reports, and visualizations
Employer & Industry UsageUsed by tech companies, data centers, and hardware providersUsed across finance, marketing, healthcare, and business sectors

While both roles involve working with data, Adata Technology focuses on technical infrastructure, hardware, and data systems, whereas Data Analysts primarily analyze and interpret data to support business decisions.

What are the key skills and qualifications needed to thrive as a professional at ADATA Technology, and why are they important?

To thrive at ADATA Technology, professionals typically need expertise in engineering, information technology, or business management, often supported by relevant degrees and industry experience. Familiarity with hardware development tools, quality assurance systems, and knowledge of memory and storage technology standards is highly valued. Strong problem-solving abilities, teamwork, and effective communication are essential soft skills for success in this fast-paced environment. These competencies enable innovation, efficient project execution, and collaboration, which are crucial for maintaining ADATA's competitive edge in the technology sector.

What is Adata Technology and what does the company do?

Adata Technology is a Taiwanese company specializing in the manufacturing of memory and storage solutions, such as DRAM modules, USB flash drives, solid-state drives (SSDs), and external hard drives. Founded in 2001, Adata has become one of the world's leading memory brands, serving both consumer and industrial markets. The company is known for its high-quality and innovative products, including gaming hardware under the XPG brand. Adata distributes its products globally and is recognized for its focus on reliability and performance.

What are some common challenges faced by professionals working at ADATA Technology, and how can they be addressed?

Professionals at ADATA Technology, which specializes in memory and storage solutions, often encounter challenges such as keeping pace with rapid technological advancements and meeting tight product development deadlines. Success in this environment requires strong adaptability, effective collaboration with cross-functional teams, and continuous upskilling. New hires can address these challenges by leveraging internal training resources, actively seeking mentorship from experienced colleagues, and staying informed about industry trends. ADATA fosters a collaborative atmosphere, which helps employees overcome obstacles through teamwork and knowledge sharing.
Senior Data Engineer

Senior Data Engineer

Lower LLC

Columbus, OH

$102K - $139K/yr

Full-time

Posted 27 days ago

Job description

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience.

With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger.

Job Description:

Lower.com is looking for aData Engineer IIto join our Data & Analytics team. This is an exciting opportunity to work on a team that supports stakeholders across the entire company and has access to the full breadth of Lower's data ecosystem.

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across the business. You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data products that help the company move faster and make better decisions.

Our current stack includesSnowflake,dbt, Looker, Domo, and a variety of source-system connectors, native pipelines, APIs, data shares, SFTP-based integrations, and Python-based workflows. We are also actively exploring how modern AI development tools and agentic workflows - including tools likeClaude Code, Cursor, AI-assisted development, and data-focused automation frameworks- can help us build faster, improve quality, and create better internal data products.

This isa great rolefor someone who enjoys working in a dynamic, high-growth environment, likes solving data problems, and is excited by the opportunity to use modern tooling, including AI-assisted development, to improve how datateamswork.

What you'll do:

  • Build,maintain, andoptimizedata pipelines across a variety of source systems.

  • Support and improve our core data warehouse infrastructure, primarily inSnowflake, with some legacy warehouse environments such asRedshift.

  • Develop andmaintaintransformation logic, models, and reusable data assets using tools such asdbt.

  • Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making.

  • Support BI andreportingworkflows acrossLookerandDomo, partnering with analysts and business teams to ensure trusted, consistent metrics.

  • Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections, APIs, and native integrations.

  • Write andmaintainproduction-quality SQL, Python scripts, and transformation workflows.

  • Partner with analysts and business stakeholders to understand data needs and translate them into reliable, scalable data solutions.

  • Help ensure our data isaccurate,timely, well-documented, and trusted by the teams that rely on it.

  • Explore and adopt AI-assisted engineering tools such asClaude Code, Cursor, and other agentic AI frameworksto improve development velocity, documentation, testing, data quality, and operational efficiency.

  • Support warehouse migrations, platform consolidation, and modernization efforts as the company continues to scale.

  • Collaborate with cross-functional teams across marketing, sales, operations, finance, product, technology, and mortgage operations.

  • Contribute to data quality monitoring, observability, governance, and process improvements.

Who you are:

  • 3-5+ years of professional experience in data engineering, analytics engineering, business intelligence engineering, or a similar data-focused role.

  • Strong SQL skills and experience working with large, complex datasets.

  • Experience building andmaintainingproduction data pipelines.

  • Experience with cloud data warehouses such asSnowflake,Redshift,BigQuery, or similar platforms.

  • Experience withdbtor similar data transformation frameworks.

  • Experience with Python or another scripting language used for data processing, automation, or pipeline orchestration.

  • Familiarity with data integration patterns, including APIs, SFTP transfers, file-based ingestion, third-party connectors, data shares, and native platform integrations.

  • Comfort working with BI and analytics tools such asLooker, Domo, Tableau, Power BI, or similar platforms.

  • Interest in using modern AI tools to improve data engineering workflows, including AI-assisted coding, documentation, testing, code review, and automation.

  • Comfort working with messy, real-world business data and turning it into clean, trustworthy, usable data assets.

  • Strong problem-solving skills and attention to detail.

  • Ability to work with both technical and non-technical stakeholders.

  • A collaborative mindset and a desire to build reliable systems that help the broader company succeed.

Preferred Experience

  • Experience in the mortgage, lending, financial services, real estate, or fintech industries.

  • Hands-on experience withSnowflake,dbt, Looker, and/or Domo.

  • Experience using AI-assisted development tools such asClaude Code, Cursor, GitHub Copilot, or similar tools.

  • Experience exploring or building with AI agents, workflow automation, LLM-powered internal tools, or agentic development frameworks.

  • Experience with orchestration tools, cloud platforms, CI/CD workflows, or modern data stack tooling.

  • Familiarity with data governance, data quality testing, observability, and documentation best practices.

  • Experience supporting executive reporting, operational analytics, marketing analytics, mortgage operations, or sales funnel reporting.

Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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