Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4343928165&distance=25.0&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=300 Job Description: mith Arnold Partners Share Show more options Senior Data Engineer Connecticut, United States · 2 hours ago · Over 100 applicants Promoted by hirer · No response insights available yet $120K/yr - $135K/yr + Bonus Remote Matches your job preferences, workplace type is Remote. Full-time Easy Apply Save Save Senior Data Engineer at Smith Arnold Partners Senior Data Engineer Smith Arnold Partners · Connecticut, United States (Remote) Easy Apply Save Save Senior Data Engineer at Smith Arnold Partners Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Matt Arnold 3rd Sr. Vice President at Smith Arnold Partners - Technical Recruiting Expert Job poster Message About the job Sr. Azure Data Engineer opportunity with rapidly growing financial corporation If you’re looking for a remote role where your architectural decisions and hands on Azure/DataBricks Data Engineering expertise matter, your Databricks expertise is fully utilized, and data quality is treated as a first-class concern, this is a role worth exploring. Employee testimonials: Great company to work for! Many opportunities to grow! Excellent management team! Opportunity to learn and become a better you. This company instills pride and passion into their workers. This company is consistently growing and allows you to grow with them. Co-workers are like family members, many opportunities for career growth, good work is acknowledged. Title: Sr. Azure Data Engineer Location: Remote Compensation: $120,000 – $135,000 +Bonus Responsibilities: This fully remote, full-time Senior Azure Data Engineer role sits at the center of a modern Azure-based data platform built on Databricks. The focus is on designing and evolving a lakehouse environment that people genuinely rely on—pipelines that are performant, data that can be trusted, and architectures that scale without constant intervention. You’ll spend your time working deeply with Databricks, Spark, Delta Lake, and Azure Data Lake Gen2, building systems that support advanced analytics, machine learning, and real business decision-making. The work goes well beyond writing pipelines. You’ll be responsible for how data is modeled, validated, governed, secured, and optimized. Performance tuning, data quality enforcement, and thoughtful design are part of the day-to-day, as is close collaboration with analysts and stakeholders who depend on clean, well-curated datasets. There’s a strong emphasis on automation, CI/CD, and repeatable processes, along with ownership of larger initiatives from design through delivery. You’ll also serve as a technical leader—mentoring junior engineers, setting standards, and contributing meaningfully to architectural discussions. This team values engineers who are comfortable working independently, can break down ambiguous problems, and take pride in delivering well-structured solutions on time. Agile practices are in place, but so is an expectation of accountability, documentation, and adherence to sound SDLC and governance principles. The environment is professional, collaborative, and mission-driven, with data engineering viewed as a strategic capability rather than a support function. Qualifications Bachelor’s Degree or equivalent in Computer Science or related field required. License/Certification Databrick Data Engineer Associate required. License/Certification Databrick Data Engineer Professional preferred. License/Certification Microsoft Azure Data Engineer preferred. Minimum 5 years of experience as Data Engineer required. Minimum 5 years of experience Data Warehousing, Data Lakes and big date platforms required. Minimum 5 years Python experience required. Minimum 3 years Databricks experience required.