Jobs at ShyftLabs

Develop and maintain Power BI and Looker dashboards, reports, data models, and analytical assets. Analyze complex datasets with SQL and Python, validate data quality, translate stakeholder requirements into actionable insights, and support project milestones. Collaborate with technical and business teams, optimize BI performance, communicate findings, and explore machine learning applications in business analytics.

Own the roadmap and lifecycle of data and AI products, from enterprise discovery and problem definition through delivery, launch, and iteration. Translate business needs into product requirements, partner with engineering, data engineering, and design, define measurable outcomes, lead Agile ceremonies, prioritize feedback-driven improvements, and communicate risks and trade-offs to stakeholders. The role also contributes to product discovery, prioritization, and delivery practices.

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

The Senior Manager, Business Operations will lead contract management, support financial operations, ensure compliance, and optimize internal processes while enhancing client relations and business strategy execution.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

Develop and maintain ETL pipelines, manage data streaming solutions, optimize performance, and translate business requirements into scalable data systems.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

Build and maintain backend-first platform features using Python and FastAPI, including REST APIs, PostgreSQL data models, multi-tenant access patterns, async workers, third-party integrations, and webhooks. Write comprehensive unit, integration, and async tests; participate in code reviews and architecture discussions; support production on-call, incident resolution, runbooks, and post-mortems.

Lead design, build, and operation of cloud infrastructure, CI/CD pipelines, and platform tooling. Implement IaC (Terraform), automate deployments, troubleshoot live systems, maintain monitoring/logging, mentor engineers, set DevOps technical direction, and evaluate new tools.

Work on building production-ready agentic AI applications and the Continuum platform: agent orchestration, model routing, persistent memory, tool integrations, retrieval pipelines, guardrails, evaluation, observability, and backend/APIs. Write well-tested Python code and contribute to open-source examples and documentation.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

Seeking a motivated Software Developer to design and develop software applications, collaborate on architectural standards, and engage in agile practices.

Lead DevOps Engineer will design and maintain scalable AWS infrastructure, own Terraform-based IaC, build CI/CD pipelines (GitHub Actions), automate with Python/Shell, implement GitOps and security practices, manage monitoring and incident response, drive disaster recovery and cost optimization, and lead/mentor a DevOps team.

Own strategy, roadmap, and delivery of analytical data products. Lead client discovery, prioritize backlogs, run Agile ceremonies, and ensure launches. Collaborate with engineering and data teams on data quality, governance, architecture (Snowflake, BigQuery, ClickHouse, Databricks, Redshift), perform SQL validation, and drive product adoption and continuous improvement.

Build, maintain, and troubleshoot data pipelines and workflows using Python, SQL, and Spark. Provide production and client-facing technical support, collaborate with teams to resolve issues, and optimize data engineering solutions.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks using Python, PySpark, and SQL. Integrate data from databases, S3, files, and REST APIs; implement Medallion Architecture with Delta Lake; monitor, optimize, and ensure data quality and performance; collaborate with cross-functional teams to deliver production-ready data solutions.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

Design and build scalable batch and streaming data pipelines, optimize ETL/ELT workflows and SQL workloads, manage ClickHouse clusters and large analytical databases, build ingestion from MongoDB/Postgres/Kafka/APIs, and implement monitoring and anomaly detection while partnering with Product, Analytics, and Backend teams.