Remote Data Jobs β€’ SQL

363 results

Job listings

Data Engineer

TigerData 🐯🌱🐾

TigerData is looking for a skilled and innovative Data Engineer with expertise in building scalable data infrastructure and a passion for enabling data-driven decision making across the organization. You will play a crucial role in designing, building, and maintaining the data systems that power our analytics, product insights, and business intelligence initiatives. Data Engineers at Timescale are essential for ensuring our teams have reliable, accurate, and accessible data to make informed decisions.

Data Analyst

Swiftly πŸ›’πŸš€πŸ€
$30,000–$39,600
USD/year

Support the retail media platform by producing campaign summary reports for advertisers that include detailed analysis, insights and recommendations, and performing ad hoc analysis on campaign performance to support the optimization of media programs. Collaborate with the ad sales and account management team to manage operational data flow.

Oracle DBA with QLIK

Peraton πŸ‘©β€βš•οΈπŸ’»πŸ’‘
$86,000–$138,000
USD/year

Designs, develops, builds, analyzes, evaluates, and installs database management systems including database modeling and design. Writes and tunes SQL queries for performance and scalability. Implements backup and database replication solutions and participates in Data Corrections. Responsible for QLIK reporting tool, including writing QLIK reports and using ETL/QVD generators to supply source data.

Senior Data Scientist II

IHerb πŸŒβš•οΈπŸ›οΈ
$176,534–$264,801
USD/year

The Senior Data Scientist will be leading in tackling challenging problems and creating statistical, machine learning, and deep learning models that impact millions of users. This role will mentor junior team members to develop a strong future for Data Science at iHerb, turning insights into robust products.

Senior Data Engineer

Excella βœ¨πŸš€πŸ’‘
US 3w PTO 8w maternity 8w paternity

The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines. The Data Engineer works with a team to create a robust, sustainable and flexible design and leads the technical delivery using Agile delivery frameworks like Scrum or Kanban.

Staff Data Scientist, Ads

Reddit πŸ’¬πŸ‘πŸ’―
$217,000–$303,900
USD/year
US 17w maternity

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering our two-sided ads marketplace. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in a critical area such as ad auctions, measurement, advertiser experience, performance optimization, ad formats, etc.

Staff Data Engineer

NinjaHoldings πŸ₯·πŸ’πŸ“Š
$150,000–$200,000
USD/year

As a (Sr.) Staff Data Engineer, you will define the technical strategy for enterprise data systems, leveraging Snowflake and dbt to ensure scalability and extensibility aligned with the organization’s long-term business roadmap. Your role combines strategic vision with hands-on execution, requiring you to design robust data solutions and independently implement critical components to support analytics, reporting, and operational needs. You will lead through analysis, design, collaboration, and mentorship, driving data excellence across the organization.

Sr. Quality Data Analyst

Agilon Health πŸ₯πŸ€πŸ“Š
$87,000–$106,600
USD/year

The Sr. Quality Data Analyst will monitor and validate data accuracy, identify inconsistencies, and implement mitigation strategies for HEDIS programs. You will work with technology teams to automate data ingestion and validation, conduct root cause analyses, and develop test processes. You will also perform data reconciliation, develop reporting capabilities, and lead market status meetings.

Analytics Engineer

Xero βœ¨πŸ“ŠπŸ’‘

As an Analytics Engineer supporting Product Data Science, you will be responsible for delivering high-quality data assets (data pipelines and models) that enable both rapid decision-making and the development and deployment of machine learning models. This role will play a crucial role in bridging the gap between traditional analytics engineering and the growing needs of our machine learning initiatives.