Salve Logo

Salve

Analytics Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in USA
100K-130K Annually
Mid level
Remote
Hiring Remotely in USA
100K-130K Annually
Mid level
The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.
The summary above was generated by AI

Salve is seeking a Data/Analytics Engineer to own the BI modeling layer and dashboards for our regulated-industry analytics product (with a focus on cannabis). You’ll translate business questions into performant SQL, design and maintain semantic/data models, and build polished dashboards and self-serve reports in our BI platform. You’ll partner closely with customers and internal teams to customize reporting, ensure data quality and governance, and turn complex datasets into clear, actionable insights. Additionally, you will work closely with the data engineering team to ensure data ingestion, modeling and reporting quality.

Responsibilities

  • Build and maintain the semantic layer/metrics: define KPI logic and reusable models that power dashboards and self-serve reporting.
  • Test and improve data modeling for generative AI.
  • Translate business questions into performant SQL and polished dashboards in our BI tool; ship clean, drill-friendly reports.
  • Work directly with customers to customize reporting and data workflows.
  • Optimize warehouse and query performance for fast, cost-effective analytics.
  • Help implement and monitor ETL/ELT to land and transform data from databases, files, and APIs (e.g., Hevo, Airbyte, Glue).
  • Manage schema changes and migrations with version control and backward-compatible rollouts.
  • Develop and deploy forecasting models (e.g., regression, time-series) to power forecasting reports and alerts.
  • Triage and resolve reporting issues and pipeline incidents; drive root-cause analysis and prevention.
  • Work with customer success and onboarding to manage and document customer implementations onto the platform.

Required Skills & Experience

  • Strong proficiency in SQL.
  • Hands-on experience with relational databases and data warehouses, especially Snowflake, MySQL and Postgres.
  • Understanding of data modeling principles (star/snowflake schema, normalization/denormalization).
  • Experience building ETL/ELT and data processing pipelines using tools such as dbt, Hevo, Airbyte, Glue, or Spark.
  • Experience with data visualization tools such as Omni, Metabase, PowerBI, Looker, Mode, etc.
  • Excel-capable.
  • Strong troubleshooting skills.

Preferred Skills

  • Experience with Python.
  • Familiarity with data orchestration tools such as Airflow or Dagster.
  • Experience using generative AI models, especially using Snowflake Cortex.
  • Knowledge of AI, machine learning and MLOps, especially for forecasting and classification.
  • Experience with building and maintaining web scrapers.
  • Familiarity with PHP and Laravel.
  • MUST reside between UTC-4 (EST) & UTC-7 (PST) Time Zones

Desired Skills

  • Strong communication skills with the ability to explain technical concepts clearly
  • Comfortable leading client calls and presenting data findings
  • Proactive, responsive, and focused on delivering a great customer experience
  • Collaborative team player who works well across technical and non-technical teams
  • Organized and adaptable, able to manage multiple client engagements and troubleshoot on the fly

Salve Team Fit

At Salve, we believe small teams can make a big impact.

Our work is driven by a passion for innovation, a commitment to excellence, and a strong collaborative spirit. Every voice matters here — we show up each day ready to collaborate, tackle challenges, and grow together while we do meaningful work that improves lives. At Salve, we strive for the right balance — it’s not a place to fade into the background or to dominate the conversation. We value individuals who lead with humility, prioritize the team, and contribute to shaping our vibrant and supportive culture.

We’re looking for someone who shares our values and thrives in a fast-paced, evolving environment. Our ideal teammate is:

  • An excellent communicator who brings clarity and empathy to every interaction.
  • A hard-working self-starter who loves tackling new challenges and isn’t afraid to jump in.
  • Resilient and adaptable in a fast-moving landscape.
  • A problem-solver at heart, turning obstacles into opportunities.
  • Known for a positive attitude, bringing energy and optimism to their team.
  • A true team player who supports, inspires, and celebrates the success of those around them.

If you believe that small teams can do big things — and you want to grow alongside a driven, supportive crew — we’d love to hear from you.

Top Skills

Airbyte
Airflow
Dagster
Dbt
Glue
Hevo
Laravel
Looker
Metabase
Mode
MySQL
Omni
PHP
Postgres
Power BI
Python
Snowflake
Spark
SQL

Similar Jobs

2 Days Ago
Remote
US
195K-312K Annually
Expert/Leader
195K-312K Annually
Expert/Leader
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.
Top Skills: AirflowAmazon S3AmplitudeChatgptClaudeCursorDbtHexMcpPythonSigmaSnowflakeSQL
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Marketing Tech • Real Estate • Software • PropTech • SEO
The Senior Analytics Engineer will transform raw data into clean datasets, ensuring data quality, collaboration across teams, and creating robust analytics for business insights.
Top Skills: AirflowBigQueryDbtPysparkPythonRedshiftSnowflakeSparkSQL
2 Days Ago
Remote
United States
149K-202K Annually
Senior level
149K-202K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.
Top Skills: AirflowC++DatabricksJavaPythonScalaSparkSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account