BI and Big Data consulting firm specializing in data architecture, ETL processes, and analytics platform optimization.
The Top 10
The absolute best in data engineering & analytics
Data science and IoT solutions provider optimizing operations through simulation tools and data analytics.
Full-service data analytics consultancy providing BI, data engineering, and cloud solutions across multiple industries.
BI and Big Data consultancy specializing in Power BI projects, interactive dashboards, and analytics solutions.
Business intelligence consultancy offering comprehensive big data solutions and systems integration services.
Observability platform helping businesses manage data growth and cloud-native complexities with advanced analytics.
GenAI-powered data engineering firm delivering real-time analytics, automation, and scalable data solutions.
AI and data engineering company building efficient data pipelines, modernizing platforms, and enabling rapid AI adoption.
AI and data engineering consultancy developing automated data pipelines and advanced analytics solutions.
Databricks and Snowflake partner specializing in data architecture, cloud infrastructure, and modern analytics platforms.
Top 10 Data Engineering & Analytics Agencies — FAQ
Common questions about the best data engineering & analytics agencies.
Who is the #1 data engineering & analytics agency in the USA in 2026?
As of 2026, the top-ranked data engineering & analytics agency in the USA on AgencyCluster is Stellans, with an AgencyCluster Score of 98/100. Rankings are based on verified evidence across credibility, proof of work, reputation, category specialization, delivery maturity, and freshness. Rankings are updated periodically as new evidence becomes available.
How were the top 10 data engineering & analytics agencies in the USA selected?
This list features 10 agencies selected from AgencyCluster's curated directory. Each agency was evaluated using the AgencyCluster Score (0–100), with particular weight on demonstrated expertise in data engineering & analytics. Only agencies with verified credentials are eligible, and rankings cannot be purchased. The agencies on this list average 16+ years of experience. For full methodology details, see our How We Rank page.
What should I look for when choosing a data engineering & analytics agency from this list?
Ask about their experience with your data stack (Snowflake, Databricks, BigQuery, dbt). Check if they can handle both pipeline engineering and analytics/BI. Ask about data quality practices — testing, monitoring, and documentation. For enterprise, ask about their experience with data governance and privacy compliance.
How much do the top data engineering & analytics agencies typically charge?
Data platform setup (warehouse + pipelines) costs $40K–$150K. BI and analytics layer implementation ranges from $25K–$100K. Ongoing data engineering support runs $10K–$30K/month.
Trusted Rankings
Every agency on this list has been reviewed by our editorial team. Rankings are based on our transparent methodology which evaluates credibility, outcomes, and reputation.
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