Top Remote Analytics Engineer Jobs
The Lead Analytics Engineer will spearhead the development and optimization of data analytics frameworks and infrastructure. Responsibilities include leadership, strategic planning, project management, technical implementation, collaboration, and continuous improvement. Qualifications include expertise in SQL, Snowflake, ETL, Airflow, and Dagster, with programming skills in Python and experience with GIT.
Principal Analytics Engineer at Upstart leading the formulation of a technical vision and roadmap for analytics engineering. Collaborating with teams to maximize the value of data, educating on data architecture practices, and being a strategic partner to analytics squads in decision-making.
Analytics Engineer providing data and tooling to end users, creating standardized datasets, setting up new data sources, improving data platform performance, engaging in technical discussions, and championing a collaborative team culture.
Design and develop robust and scalable data models for analytical stakeholders, implement Analytics Engineering best practices, collaborate with data engineers, and lead efforts to design data models and build curated data sets.
As a Staff Analytics Engineer at Airbnb's Marketing Technology team, you will develop data assets for product and AI/ML use-cases, scale insight generation, collaborate with cross-functional teams, and drive strategic decisions using data. You will bring technical mentorship and leadership to the team, focusing on data modeling, metric development, and large-scale distributed data processing.
The Analytics Engineer role at Zepz involves developing, testing, and implementing data models to ensure data integrity and performance, collaborating with cross-functional teams, optimizing data processes, troubleshooting data issues, and ensuring high-quality data output.
The Senior Analytics Engineer at Workiva is responsible for delivering analytics and insights to drive the organization's objectives. This role involves statistical modeling, analysis of datasets, and developing metrics and reports using SQL and Python. Responsibilities include gathering customer feedback, validating product features, designing queries, developing automation, and maintaining data quality checks.
Senior Analytics Engineer at Spring Health responsible for developing and maintaining core data models, collaborating with finance and data analysts, ensuring data consistency, and driving data quality initiatives.
Featured Jobs
Givebutter is looking for a talented and passionate Analytics Engineer to join their growing Data team. The role involves designing and implementing data models, building data pipelines, integrating data across platforms, and ensuring data integrity standards.
The Analytics Engineer at Evolve will be responsible for building data models, ETL processes, and data visualizations to enable data-driven decisions and support business operations. They will work with SQL, Python, Snowflake, dbt, and Tableau to curate and transform data for reporting and analytics.
Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.
Build and refine data assets and products, extend data platform capabilities, build data pipelines, work cross-functionally with teams, and ensure data quality and accuracy for a MedTech company.
As an Analytics Engineer at Redox, you will be responsible for developing and evolving the analytics infrastructure to drive the organization's decision-making and growth. This includes managing data ingestion, warehousing, transformation, and analysis processes, building data marts, and engaging with business stakeholders.
An Analytics Engineer role at Fetch, responsible for modeling, analyzing data, leveraging various tools and technologies, communicating insights, and leading data initiatives. Ideal candidates should be proficient in SQL, data modeling tools, have experience with data stores and cloud platforms, and be motivated to work autonomously.
As a Senior ETL Operations and Data Analytics Engineer, responsible for designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights. Key responsibilities include designing ETL processes, monitoring and optimizing workflows, collaborating with teams, creating and maintaining data models, utilizing various programming languages and technologies, and presenting insights to stakeholders.
The Cyber Analytics Engineer will play a critical role in enhancing the Information Security program by identifying and integrating valuable data into the cyber analytics toolset. Responsibilities include integrating data sources, automating operational tasks, synthesizing security insights, enhancing decision-making processes, and advancing security analytics capabilities.
Build robust data solutions for transferring data between applications and data warehouse. Ensure data quality and availability, develop data models and pipelines, and collaborate with teams to deliver solutions.
Join the growing data engineering team at FreeWheel, a Comcast company, and work on designing and implementing data pipelines using cutting-edge tools in the cloud. Opportunity to build scalable data systems and collaborate with external teams on data quality issues.
Join a fully remote team as a Staff Analytics Engineer at Brightwheel. Responsible for building and maintaining the data layer for the analytics stack, creating data models, and enabling self-service analytics. Must have deep SQL skills and experience with data discovery and modeling.
The Analytics Engineer I at Oscar plays a crucial role in maintaining a partnership with the Finance team, curating Certified Datasets (CDS) for accounting and actuarial processes, and ensuring the financial data model's correct implementation. Responsibilities include data organization, automation of finance processes, and data quality assurance. This role offers a base pay of $103,200 - $135,450 per year with employee benefits and bonus opportunities.
The Senior Data Engineer at Bonterra will design and implement ETL processes in a cloud environment, collaborate with the Data Science team, and support other departments within the organization with data modeling. Responsibilities include designing ETL processes, implementing monitoring solutions, documenting datasets, and serving as a technical resource. Required qualifications include 5+ years of experience in building ETL processes, expertise in cloud-hosted databases, strong understanding of ETL principles, data modeling expertise, and excellent SQL skills.
As an Analytics Engineer at Rec Room, you will partner with cross-functional teams to build and maintain the data layer for analysis and product features. Responsibilities include developing and maintaining ELT pipelines, data modeling on Databricks SQL Warehouse, creating company dashboards, and collaborating with ML teams. The base pay range for this position is $132,813 to $179,688 USD per year.
As an Analytics Engineer at Hazel Health, you will play a key role in the data-driven growth strategy of the company, designing and maintaining data models to improve decision-making and workflow automation. Collaborate with cross-functional teams to optimize data processes and ensure data quality and governance. Requires 2-5 years of experience in analytics roles with advanced SQL and dbt skills.
Collaborate with stakeholders to deliver analytics solutions using cloud-first technologies. Develop and implement data engineering solutions. Stay updated with emerging trends in Data Engineering. Requires 7+ years of experience and strong technical skills in Python, SQL, Azure, Databricks, Spark, and data engineering practices.
Join the data engineering team at FreeWheel, a Comcast company, to design and implement data pipelines using cutting-edge tools and technologies. Responsibilities include building scalable data systems, managing data tools, troubleshooting issues, and automating tasks. Required skills include AWS, Python, Java, Scala, GO, SQL, and familiarity with CI/CD tools and AWS services.
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