Build and maintain data pipelines by developing scalable ETL/ELT processes. Optimize data infrastructure. Collaborate across teams with data scientists, analysts, and engineers to understand requirements and deliver usable datasets. Ensure data quality through monitoring and testing. Contribute to team growth by documenting work and sharing learnings.
The Business Intelligence Analyst role is designed for structured thinkers with the technical ability to interpret data and the communication skills to translate insights into actionable strategies for business leaders. These analysts are curious self-starters who understand the business and leverage SQL, Python, and other tools to conduct data-driven analyses that drive growth and efficiency.
The Data Engineering Manager is responsible for leading a team of data engineers to design, develop, optimize, and maintain scalable data pipelines and architectures. The role requires a strategic thinker with technical expertise and leadership skills to build efficient, high-performing data systems. This individual will work closely with functional leaders to drive data automation and analytics initiatives.
You’ll be the engine behind Trust & Safety’s data backbone, ensuring ingestion is reliable, latency is low, and data is correct, so that detection, tooling, and dashboards always have solid ground. As a Data Engineer at Resend, you will build and maintain ETL/streaming pipelines for logs, events, metadata, and attribution.
The Senior Data Management Engineer will build data pipelines, model and prepare data, and perform complex data analysis to answer Business questions. This role involves building and automating data pipeline and quality framework to enable and promote self service data pipelines, and assisting in operationalizing the AI / ML Engineering solutions.
Work with us as a seasonal data integrations engineer, helping us manage the data pipeline between Timely and our clients. As a data integrations engineer, you will operate across both engineering and customer success to ensure that customers can integrate with and leverage our scheduling technology for their needs. You’ll work closely with both the engineering and customer success teams.
As a data integrations engineer, you will operate across both engineering and customer success teams to ensure that customers can integrate with and leverage our scheduling technology for their needs. You’ll work closely with customer success team members to own a portfolio of clients who wish to integrate with Timely for their scheduling needs. You will devise the architecture and patterns to generalize and scale the process of reliable integration across many clients, reducing the cost of such integrations over time. Finally, you’ll be responsible for establishing the culture and patterns that allow us to grow the team over time to serve even more customers.
As a Senior Data Scientist on the team, you will play a significant role in driving the success of key product areas at Reddit. You will contribute to defining product strategy through measurement and metrics design, experimentation and causal analyses, and supporting product decisions via deep data analyses and research. You will be an industry technical leader with strong business acumen and excellent cross-functional stakeholders management skills.
We are seeking a Data Integrations Specialist to ensure that schools and districts can seamlessly integrate their data with Timely’s scheduling technology. You will own the ingestion, transformation, and export of data between district systems and the Timely data model and product. As well as collaborate with our customer success team, SIS representatives, and district IT staff to design, plan, and execute data integration workflows.
Define and execute the AI/ML roadmap aligned to objectives. Run an AI opportunities and triage process and establish AI governance. Partner with Clinical Ops, PV/Drug Safety, Biostatistics, Regulatory, QA, IT/Security, and commercial client teams to translate needs into high-value AI solutions.