Top AWS Data Engineering Companies 2026

Find the right partner for the cloud's biggest ecosystem. We've ranked top firms for Redshift optimization, Glue ETL pipelines, and serverless data lakes.

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Modernization

Move beyond legacy EC2-based databases. Experts implement Redshift Serverless and Aurora v2 for auto-scaling performance.

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Serverless ETL

Reduce maintenance with AWS Glue and Lambda. Build event-driven pipelines that scale to zero when not in use.

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Streaming Data

Capture real-time insights using Kinesis and MSK (Managed Kafka) to feed dashboards and ML models instantly.

Top AWS Consulting Partners

Showing top 76 firms

Rank	Company	Score	Rate	Best For
#1	phData 500 employees	8.7/10	$150-250	Enterprises needing Snowflake migrations and data modernization; Fortune 500 companies
#2	Tiger Analytics 3000 employees	8.6/10	$100-200	Retail and CPG companies; enterprises needing advanced analytics and ML
#3	Analytics8 100 employees	8.3/10	$100-200	Mid-market companies needing end-to-end data solutions; data modernization projects
#4	Lovelytics 50 employees	8.3/10	$150-225	Companies seeking Snowflake-to-Databricks migration; cloud data platform specialists
#5	Slalom 13000 employees	8.3/10	$150-250	Large enterprises needing digital transformation; AWS Global GenAI Partner of Year
#6	Tredence 3000 employees	8.3/10	$100-200	Retail and CPG enterprises; companies needing GenAI accelerators
#7	Accenture 779000 employees	8.2/10	$120-200	Global enterprises needing large-scale transformation; Fortune 500 companies
#8	Sigmoid 1000 employees	8.2/10	$50-150	Companies seeking value-for-money ML expertise; mid-market data engineering
#9	Infosys 300000 employees	8.1/10	$50-100	Global enterprises; offshore development model; large-scale implementations
#10	Deloitte 450000 employees	8/10	$75-175	C-suite advisory with technical execution; regulated industries
#11	InterWorks 500 employees	8/10	$150-275	BI and analytics deployments; Tableau and Snowflake specialists
#12	STX Next 500 employees	8/10	$75-150	European nearshore; fintech, manufacturing, logistics; 200+ data projects; AWS & Snowflake certified
#13	Wipro 200000 employees	8/10	$50-100	Large-scale global enterprises; offshore delivery model
#14	Capgemini 300000 employees	7.9/10	$75-150	Global enterprises needing Industry 4.0 solutions; engineering R&D services
#15	Cognizant 340000 employees	7.9/10	$75-150	Fortune 2000 companies; GenAI and autonomous AI solutions
#16	Devoteam 11000 employees	7.9/10	$100-175	European enterprises; cloud and cybersecurity specialists
#17	Itransition 3000 employees	7.9/10	$50-100	Mid-market companies; full-cycle software development with data engineering
#18	Adastra 100 employees	7.8/10	$125-200	Financial services and enterprise data platform implementations
#19	DataArt 3000 employees	7.8/10	$50-100	Custom software development with data engineering; European nearshore
#20	Intellias 3000 employees	7.8/10	$50-100	Automotive, fintech, and large-scale engineering projects
#21	iTechArt 3500 employees	7.8/10	$50-100	VC-backed startups and rapidly scaling tech firms
#22	Avenga 2500 employees	7.7/10	$50-99	Regulated industries; nearshore teams; life sciences and finance
#23	Celebal Technologies 1000 employees	7.7/10	$50-100	Microsoft Azure specialists; PowerBI and AI solutions
#24	Fractal Analytics 5000 employees	7.7/10	$100-200	Enterprise AI and decision intelligence; Fortune 500 companies
#25	Solita 2100 employees	7.7/10	$125-200	Nordic companies; Snowflake Elite Partner; data-driven transformation
#26	BlueCloud 100 employees	7.6/10	$125-200	Mid-market cloud data platform implementations
#27	InData Labs 100 employees	7.6/10	$70-150	AI/ML and data science projects; predictive analytics
#28	Indium Software 3000 employees	7.6/10	$50-100	Product engineering with data modernization; Digital assurance
#29	Mantel Group 900 employees	7.6/10	$150-250	Australia/NZ enterprises; Elite Databricks Partner; regulated industries
#30	N-iX 2400 employees	7.6/10	$50-100	European nearshore development; Fortune 500 clients
#31	Atrium 100 employees	7.5/10	$150-250	Snowflake and Salesforce integration; AI-native consulting
#32	CHI Software 500 employees	7.5/10	$50-100	AI-driven software development; GenAI integration; healthcare tech
#33	DATAPAO 50 employees	7.5/10	$100-175	Databricks Premier Partner; European data engineering and MLOps
#34	DS Stream 150 employees	7.5/10	$50-99	AI and data analytics for global brands; GenAI solutions
#35	Innowise 2500 employees	7.5/10	$50-100	Full-cycle software development with data engineering; Eastern Europe
#36	ProCogia 100 employees	7.5/10	$125-200	Data consultancy and bioinformatics; enterprise data mesh
#37	Saviant Consulting 500 employees	7.5/10	$75-150	Microsoft Azure specialists; Industrial IoT and smart machines
#38	Aimpoint Digital 200 employees	7.4/10	$175-275	Market-leading analytics and data engineering; Snowflake Elite Partner
#39	Beyond Key 500 employees	7.4/10	$100-150	Microsoft technologies and PowerBI consulting; .NET development
#40	Dateonic 50 employees	7.4/10	$100-175	Databricks consultancy specialists; Big Data and AI solutions
#41	XenonStack 500 employees	7.4/10	$50-100	Agentic AI systems; real-time analytics; platform engineering
#42	Algoscale 200 employees	7.3/10	$75-125	Data engineering and analytics; distributed data processing
#43	BIZTORY 100 employees	7.3/10	$75-150	Asian markets; Microsoft Azure and PowerBI specialists
#44	Damco Solutions 500 employees	7.3/10	$50-100	Enterprise data modernization; Big Data solutions
#45	Improving 500 employees	7.3/10	$125-200	Software consultancy with data engineering; Agile delivery
#46	Perficient 5000 employees	7.3/10	$125-200	Digital transformation; enterprise data and analytics
#47	Helical IT Solutions 100 employees	7.2/10	$50-100	Open-source BI and data engineering; cost-effective solutions
#48	Pingahla 100 employees	7.2/10	$50-100	Data engineering and analytics for startups and mid-market
#49	Tata Consultancy Services (TCS) 600000 employees	8.5/10	$50-100	Global enterprises; offshore delivery; large-scale transformations
#50	Entrans 100 employees	7.2/10	$75-150	End-to-end data engineering; data lakehouse implementations
#51	Simform 500 employees	7.5/10	$50-100	Product engineering with data capabilities; cloud-native development
#52	ScienceSoft 700 employees	7.6/10	$50-100	Healthcare and financial services; compliance-focused data solutions
#53	Hashmap 200 employees	8.5/10	$150-250	Enterprises needing cloud migrations and IoT data solutions
#54	Kanerika Inc 200 employees	7.4/10	$75-150	Intelligent automation and data analytics; Microsoft Azure specialists
#55	Dataroots 50 employees	8/10	$100-175	AI-driven data engineering and MLOps implementation
#56	Thoughtworks 10000 employees	8.5/10	$150-250	Digital transformation and modern software practices; data mesh
#57	Data Driven 80 employees	7.9/10	$125-200	Modern data stack implementation and analytics engineering
#58	Hakkoda 150 employees	8.5/10	$140-220	Scalable Snowflake data engineering teams
#59	Datalytyx 60 employees	7.9/10	$125-200	Data governance and managed data services
#60	Infostrux 70 employees	8.2/10	$140-210	Snowflake data architecture and Data Vault modeling
#61	McKinsey & Company 2000+ employees	8.1/10	$250+	Large-scale digital transformation and strategy-led AI initiatives
#62	Bain & Company 1500+ employees	8/10	$250+	Private equity due diligence and advanced analytics strategy
#63	BCG X 2500+ employees	8/10	$250+	Building new digital ventures and large-scale AI transformation
#64	KPMG 4000+ employees	7.7/10	$175+	Risk management, regulatory reporting, and finance back-office data
#65	PwC 6000+ employees	7.9/10	$175+	Busines-led transformation and finance function modernization
#66	HCLTech 10000+ employees	7.6/10	$50-125	Large-scale legacy migrations and managed services outsourcing
#67	Tech Mahindra 8000+ employees	7.5/10	$45-120	Telecom and manufacturing data solutions
#68	LTIMindtree 5000+ employees	8/10	$55-130	Snowflake migrations for large enterprises
#69	Mphasis 4000+ employees	7.7/10	$50-125	Banking and capital markets data modernization
#70	dbt Labs Services 400 employees	9/10	$200-300	Expert-level dbt implementation and analytics engineering training
#71	Fivetran Services 1000 employees	8.5/10	$200+	Modern data ingestion strategy and connector configuration
#72	Atlan Services 300 employees	8.6/10	$175-250	Active data governance and metadata management setup
#73	Airbyte Services 100 employees	8.4/10	$150-220	Custom connector development and large-scale data replication
#74	Materialize 80 employees	8.3/10	$170-240	Real-time analytics and operational dashboards
#75	Confluent 2500+ employees	8.9/10	$200+	Enterprise-scale event streaming and data in motion
#76	Dagster Labs 60 employees	8.5/10	$160-230	Modern data orchestration and data platform engineering context

Key AWS Data Engineering Services

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Redshift Migration & Optimization

Move from on-premise databases or legacy warehouses to Redshift. Experts design dist/sort keys, implement Concurrency Scaling, and migrate to RA3 node types for faster performance.

Oracle/SQL Server to Redshift migration
Redshift Spectrum for S3 queries
Workload Management (WLM) tuning

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AWS Glue & ETL Automation

Build serverless ETL pipelines using AWS Glue. Convert legacy Python/Spark scripts into Glue jobs with proper error handling, incremental processing, and cost optimization.

Glue Data Catalog governance
Glue Studio visual ETL
DynamicFrame transformations

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Kinesis & Real-time Streaming

Capture clickstream, IoT, and application logs in real-time using Kinesis Data Streams. Process events with Lambda or Kinesis Analytics for instant insights.

Kinesis Data Firehose to S3/Redshift
Stream processing with Flink
Real-time dashboards (QuickSight)

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Data Lake Implementation

Design S3-based data lakes with proper partitioning, lifecycle policies, and Lake Formation governance. Integrate with Athena for SQL queries on petabyte-scale data.

S3 bucket architecture & optimization
AWS Lake Formation security
Athena query performance tuning

How to Choose an AWS Data Engineering Partner

Verify AWS Partner Tier

Look for Advanced or Premier tier partners. Premier partners have access to AWS Well-Architected Reviews and direct Technical Account Managers (TAMs).

Check Service-Specific Competencies

AWS awards "Data & Analytics Competency" badges to partners with proven expertise. Ask for specific certifications like AWS Certified Data Analytics or Big Data Specialty.

Assess Serverless Expertise

The modern AWS stack favors serverless (Glue, Lambda, Athena). Ensure your partner isn't still pushing legacy EC2-based Hadoop clusters unless you specifically need EMR.

Request Cost Optimization Examples

AWS bills can spiral quickly. Ask candidates to share case studies where they've reduced costs through Reserved Instance planning, S3 lifecycle policies, or spot instance usage.

Rating Methodology

Data Sources: Gartner, Forrester, Everest Group reports; Clutch & G2 reviews (10+ verified reviews required); Official partner directories (Databricks, Snowflake, AWS, Azure, GCP); Company disclosures; Independent market rate surveys

Last Verified: January 21, 2026 | Next Update: April 2026

Technical Expertise

20%

Platform partnerships, certifications, modern tools (Databricks, Snowflake, dbt, streaming)

Delivery Quality

20%

On-time track record, proven methodologies, client testimonials, case results

Industry Experience

15%

Years in business, completed projects, client diversity, sector expertise

Cost-Effectiveness

15%

Value for money, transparent pricing, competitive rates vs capabilities

Scalability

10%

Team size, global reach, project capacity, resource ramp-up speed

Market Focus

10%

Ability to serve startups, SMEs, and enterprise clients effectively

Innovation

Cutting-edge tech adoption, AI/ML capabilities, GenAI integration

Support Quality

Responsiveness, communication clarity, post-implementation support

Frequently Asked Questions

How much does an AWS data engineering consultant cost?

Rates for specialized AWS data engineers typically range from $100 to $200 per hour. Architects with deep Redshift/EMR experience often command $200+ per hour.

What includes a "Modern" AWS Data Stack?

A modern AWS stack often replaces legacy EMR clusters with serverless tools like AWS Glue for ETL, Redshift Serverless for warehousing, and Kinesis for streaming, orchestrated by Managed Airflow (MWAA).

Should I migrate from Snowflake to Redshift?

It depends. Redshift offers deep integration with the AWS ecosystem and can be more cost-effective for predictable workloads with Reserved Instances. However, Snowflake separates compute/storage more natively. Consultants can provide a TCO analysis.

What's the difference between Glue and EMR?

AWS Glue is a fully managed, serverless ETL service ideal for standard transformations. EMR gives you full control over Spark clusters for complex, custom processing but requires more management overhead.

Can I use open-source tools on AWS?

Absolutely. AWS supports open-source frameworks like Apache Spark (EMR), Kafka (MSK), Airflow (MWAA), and dbt (on Redshift). Many teams prefer this hybrid approach to avoid vendor lock-in.

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