Software Engineer, Advanced Analytics

Boston, MA, United States (On-site)

Contract (6 months)

Published 5 hours ago

software engineering

Databricks Platform

api integration

CI/CD

data engineering

SQL

Azure DevOps

containerization

python programming

• You will bring together software engineering, analytics, and robust deployment practices to move analytics solutions reliably from prototype to production. This includes building scalable pipelines, deploying and monitoring analytics applications, integrating enterprise systems and services, and ensuring security, governance, and operational reliability.
• You have experience building and deploying production analytics solutions and enjoy solving challenges at the intersection of software engineering, industrial data, and cloud platforms. We value strong engineering fundamentals, hands-on deployment experience, and the ability to collaborate with data scientists, domain experts, and business stakeholders.

Key Responsibilities:

• Design, build, and maintain end-to-end analytics pipelines from development through deployment and monitoring.
• Write production-quality Python code using modern software engineering practices, including testing, logging, and error handling.
• Design deployment architectures that can run across Databricks, Azure, containers, and other cloud environments.
• Implement orchestration patterns including routing, handoffs, fallback logic, and failure handling.
• Develop resilient analytics capable of handling real-world data challenges such as missing data, delayed data, communication outages, sensor failures, and inconsistent telemetry.
• Build and support analytics solutions using time-series data from OT, IoT, and industrial systems.
• Develop CI/CD pipelines using GitHub Actions, Azure DevOps, or similar technologies.
• Establish monitoring, observability, and operational support for analytics applications, services, and pipelines.
• Perform data analysis using SQL to support AI and pipeline development.
• Develop operational dashboards and visualizations to monitor analytics performance, system health, data quality, and business outcomes.
• Collaborate with engineering, analytics, product, and business teams to deliver scalable solutions.
• security, governance, and Responsible AI practices including access controls, auditability, and data protection.

Mandatory Skills:

• Background in Software Engineering, Analytics Engineering, Data Engineering, AI Engineering, or a related technical field.
• Strong Python skills including design patterns, testing, packaging, logging, and API integration.
• Hands-on experience building, deploying, and supporting production software or analytics solutions.
• Experience designing and maintaining deployment pipelines, CI/CD workflows, monitoring, and operational support for production systems.
• Experience working with time-series data and industrial, IoT, or OT data sources.
• Understanding of common operational data challenges including missing, delayed, noisy, or unreliable sensor data.
• Knowledge of electrical power systems, energy systems, industrial automation, or related engineering domains.
• Experience deploying applications using containerized and cloud-native architectures.
• Experience designing solutions across Databricks, Azure, and similar environments.
• Experience with GitHub Actions, Azure DevOps, or equivalent CI/CD platforms.
• Strong SQL (Spark SQL / Delta; relational databases a plus)
• Familiarity with Power BI, Tableau, or Looker.
• Bachelor's degree with 5+ years of relevant experience, or Master's degree with 3+ years of relevant experience.

Other Skills:

• Experience with Databricks Workflows, Delta Live Tables, or Apache Spark.
• Experience with Azure Machine Learning, Azure AI Foundry, AKS, or Container Apps.

The pay range that the employer in good faith reasonably expects to pay for this position is $38.83/hour - $60.68/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.