This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Analytics Engineer in the United States.
As a Staff Analytics Engineer, you will play a pivotal role in building and maintaining reliable, production-grade data workflows and analytics products. This position combines engineering precision with a deep understanding of business data, ensuring accuracy, trust, and actionable insights across large-scale financial datasets. You will collaborate with multiple teams to optimize data pipelines, automate processes, and deliver high-quality, customer-facing analytics. The role offers a dynamic, hybrid work environment where innovation, technical rigor, and continuous improvement are highly valued. You will also explore advanced tools, including AI and machine learning, to enhance data processing efficiency and create forward-looking insights. Your work will directly impact product performance, customer experience, and strategic decision-making.
Accountabilities:
- Build and maintain SQL-based transformation workflows to cleanse, parse, and model complex datasets accurately.
- Develop and maintain production-grade Python workflows to complement SQL/dbt transformations and automate data tasks.
- Ensure the successful delivery of daily financial data feeds, standardizing raw data from multiple sources into the data warehouse.
- Resolve data-related issues through root cause analysis, tracing data lineage, and applying domain expertise.
- Design and develop customer-facing data insights products, including advanced SQL models or machine learning pipelines.
- Maintain high standards of data integrity, correctness, and trust across all workflows.
- Identify and address technical debt, advocate for AI-enhanced solutions, and continuously improve workflows.
- Ensure technical contributions align with organizational objectives and expectations.
Requirements
- 5+ years of hands-on experience in data engineering, building reliable pipelines and production-grade workflows.
- Expert proficiency in SQL and Python, particularly in Snowflake and dbt environments.
- Strong analytical skills and business-savvy mindset to interpret and diagnose data issues.
- Proven experience tracing data lineages and performing root cause analysis for complex datasets.
- Experience with AI developer tools to enhance workflow productivity is highly desirable.
- Familiarity with machine learning algorithms and ML engineering pipelines is a plus.
- Strong communication skills and ability to collaborate across teams and stakeholders.
Benefits
- Competitive salary range: $140,000–$160,000 (commensurate with experience).
· 4% 401(k) company match.
- Access to free financial planning services.
- Medical, dental, and vision insurance for employees and family members.
- Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) options.
- Generous parental leave for birth or adoption.
· Discounted pet insurance.
- 3 weeks vacation, 1 week sick leave, and 11 paid company holidays per year.
- Remote work with hybrid team-building activities.
- Professional development, mentorship, and leadership training opportunities.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
United States
India only