Senior Data Engineer at Michels

<p><span data-contrast="none"></span></p> <p>Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Senior Data Engineer can change yours.</p> <p><span data-contrast="none"></span></p> <p><span data-contrast="none">The Senior Data Engineer builds the trusted data foundation that powers analytics, reporting, operational insight, and AI across the Michels Family of Companies. As a senior individual contributor on the Enterprise Intelligence team, this person builds and operates lakehouse pipelines and reusable data products and helps shape the engineering standards that turn raw source data into valuable, durable enterprise assets. This is a hands-on role that owns complex work from design through production support and helps a lean team scale through patterns, automation, and observability. This role mentors engineers and provides technical leadership within delivery work. This role reports to the IT Manager, Data Platform &amp; Engineering and is a member of the Information Technology organization.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 20">Key Responsibilities:</span></span></strong><span data-ccp-props="{&quot;335559685&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:120}">&nbsp;</span></p> <ul> <li><span data-contrast="none">Build and maintain batch, streaming, and event-driven ingestion pipelines that reliably connect enterprise source systems to the lakehouse.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Develop transformation logic and orchestrated workflows that turn raw source data into usable, governed datasets.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Design and optimize data assets that support analytics, operational reporting, downstream applications, and AI-ready consumption.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Instrument pipelines and data products with validation checks, monitoring, and alerting so data and pipeline issues are detected and resolved quickly.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Establish engineering standards and reference architectures that allow a lean team to scale responsibly.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance.</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 20">Qualifications:</span></span></strong><span data-ccp-props="{&quot;335559685&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:120}">&nbsp;</span></p> <ul> <li><span data-contrast="none">Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">5+ years of production experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related discipline.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Proven experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="auto">Proficiency with SQL, Python, Spark or similar distributed processing frameworks, and modern engineering practices including version control, automated testing, CI/CD, and streaming ingestion.</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements.</span><span data-ccp-props="{}">&nbsp;</span></li> </ul><div class="content-conclusion"><p>AA/EOE/M/W/Vet/Disability</p> <p>&nbsp;</p> <p><a href="https://www.michels.us/website-user-privacy-policy/">https://www.michels.us/website-user-privacy-policy/</a></p></div>