Liquidity Services Logo

Liquidity Services

Data Engineer

Posted 3 Days Ago
Remote
Hiring Remotely in United States
136K-153K Annually
Senior level
Remote
Hiring Remotely in United States
136K-153K Annually
Senior level
Design, build, and maintain scalable data pipelines and integrations across AWS, Azure, and BigQuery. Normalize, aggregate, and ensure data quality for large web and transactional datasets, leveraging APIs, ETL/orchestration tools, and big-data technologies to support analytics and BI in an e-commerce environment.
The summary above was generated by AI

We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have extensive experience in designing and implementing scalable data solutions, working with large datasets, and building robust data pipelines and leveraging APIs. This role requires strong expertise in cloud platforms and a deep understanding of data engineering best practices within the e-commerce industry.

Responsibilities
  • Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently.

  • Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery.
  • Leverages APIs for data access and integration with internal and external systems
  • Work with web and transactional data to support analytics and business intelligence initiatives.
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
  • Optimize data workflows for performance and cost efficiency in cloud environments.

 

Required Qualifications & Skills

  • Bachelor’s degree in Computer Science, Engineering, or related field from a reputed institute in India.

  • Minimum of 8+ years of experience working in a large-scale organization
  • Proven experience with AWS, Azure, and BigQuery for data storage and processing.
  • Strong proficiency in SQL, Python, and data transformation tools is a must.
  • Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs.
  • Experience handling large-scale datasets and optimizing data workflows.
  • Familiarity with e-commerce industry data, including web analytics and transactional data.
  • Knowledge of data modeling, normalization, and aggregation techniques.
Qualifications

Education/ Experience:

  • Bachelor’s degree in Computer Science, Engineering, or related field 

  • Minimum of 8+ years of experience working in a large-scale organization
  • Proven experience with AWS, Azure, and BigQuery for data storage and processing.
  • Strong proficiency in SQL, Python, and data transformation tools is a must.
  • Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs.
  • Experience handling large-scale datasets and optimizing data workflows.
  • Familiarity with e-commerce industry data, including web analytics and transactional data.
  • Knowledge of data modeling, normalization, and aggregation techniques.

Skills and Ability

  • Experience with distributed systems and big data technologies (e.g., Spark, Redshift, Hadoop).
  • Solid understanding of data governance, security, and compliance in cloud environments.
  • Exposure to real-time data processing and streaming platforms (e.g., Kafka).

Work Conditions/ Physical Demands

  • This position is primarily performed in a home office or other approved remote work environment. The employee is expected to maintain a safe, secure, and distraction-free workspace with reliable internet access. Duties primarily involve prolonged periods of sitting, working on a computer, and communicating via phone and video conferencing. 
  • The employee must be able to frequently use a computer, keyboard, mouse, and other standard office equipment, as well as communicate effectively with colleagues, customers, and business partners. Occasional lifting of office materials or equipment up to 15 pounds may be required. 

Travel

  • Travel is not required for this position (0%).

Pay & Benefits:

Compensation is determined by various factors such as location, education, knowledge, skills, competencies, and experience, as well as internal and external equity and organizational needs. Additionally, this role is eligible for an annual discretionary bonus.

The salary range for this position is $135,700 to $152,650 annually.  The posted range reflects our national average range for the job. We may ultimately pay more or less than the published range based on the factors mentioned above. This range may be modified in the future.

At Liquidity Services, we provide a comprehensive benefits package that supports our employees' well-being and provides growth opportunities and career development. Our offerings include:

  • Competitive wages
  • Healthcare (medical, dental, vision, prescription drugs, FSAs) 
  • 401(k) plan
  • Paid time off (PTO) and holidays
  • Paid parental leave
  • Life and disability insurance
  • Employee Assistance Program (EAP)
  • Professional development and tuition assistance

Disclaimer: The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Liquidity Services Inc. reserves the right to modify position duties at any time due to business necessity.

Liquidity Services is an Equal Opportunity Employer.

Liquidity Services Plainfield, New Jersey, USA Office

Plainfield, United States

Similar Jobs

5 Days Ago
Remote or Hybrid
United States
70K-120K Annually
Mid level
70K-120K Annually
Mid level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.
Top Skills: Ansi SqlBigQueryBigquery SqlConfluenceGCPJIRAPythonSQL
6 Days Ago
Remote
United States
225K-225K Annually
Expert/Leader
225K-225K Annually
Expert/Leader
Security • Cybersecurity
Lead design and modernization of scalable, secure data systems and real-time pipelines for xOT cybersecurity. Create data contracts, observability, lineage, and cross-functional solutions supporting cloud and on-prem deployments, Kubernetes, and stream processing to enable threat detection and intelligence.
Top Skills: CloudData Observability FrameworksDockerGoJvm (Java/Scala/Kotlin)KubernetesMessage QueuesNode.jsOn-PremisesPythonRustStream Processing
3 Days Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.
Top Skills: APIsBitcoinBlockchainEthereumGenerative AiGoKafkaMongoDBRedisSdks

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account