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Remote Aws Redshift Jobs in Maryland (NOW HIRING)

United States (Remote) Interested applicants must reside in one of the following approved states ... AWS Certified Solutions Architect Professional or equivalent certifications are highly preferred ...

United States (Remote) Interested applicants must reside in one of the following approved states ... AWS Certified Solutions Architect Professional or equivalent certifications are highly preferred ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Familiarity with AWS data services such as S3, Redshift, Glue, and Lake Formation * Experience with ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Familiarity with AWS data services such as S3, Redshift, Glue, and Lake Formation * Experience with ...

Mid-Senior DBA

Bethesda, MD · Remote

$113K - $188K/yr

Knowledge with AWS cloud technologies like RDS, Lambda, EC2, Redshift is a plus. * Knowledge of ... local and remote teams. What Would Be Nice To Have: * Advanced certifications in database ...

Remote Aws Redshift information

What is a remote AWS Redshift?

A Remote AWS Redshift job involves working with Amazon Web Services (AWS) Redshift, a cloud-based data warehouse service, from a remote location. Professionals in this role are responsible for designing, implementing, and maintaining Redshift clusters, optimizing data storage and queries, and ensuring data security and performance. Common tasks include ETL (Extract, Transform, Load) processes, managing large datasets, and integrating Redshift with other AWS services. These roles are suitable for data engineers, analysts, and database administrators who can work effectively outside a traditional office setting. Remote AWS Redshift jobs typically require strong SQL skills, experience with cloud platforms, and knowledge of data warehousing concepts.

What are the key skills and qualifications needed to thrive as a remote AWS Redshift engineer?

To thrive as a Remote AWS Redshift Engineer, you need a strong background in data warehousing, SQL, and cloud architecture, typically supported by experience with AWS services and sometimes certifications like AWS Certified Data Analytics. Familiarity with tools such as AWS Redshift, S3, Glue, and ETL solutions is crucial for managing and optimizing large-scale data environments. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and addressing complex data challenges. These skills ensure effective data management, optimized performance, and successful collaboration in distributed cloud-based teams.

What are some common challenges faced by remote AWS Redshift engineers, and how can they be addressed?

Remote AWS Redshift engineers often face challenges such as coordinating with distributed teams, maintaining secure data access, and troubleshooting data pipeline issues without on-site support. Effective communication tools, clear documentation, and regular virtual check-ins help address collaboration hurdles. Leveraging AWS security best practices and automated monitoring tools can streamline issue detection and resolution, ensuring data integrity and system performance even while working remotely.

What is the difference between Remote Aws Redshift vs Remote Data Warehouse Engineer?

AspectRemote Aws RedshiftRemote Data Warehouse Engineer
Required CredentialsAWS certifications, SQL knowledgeData warehousing certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, data analytics teamsData infrastructure teams, cloud or on-premises environments
Industry UsageData analytics, BI, cloud servicesData integration, analytics, enterprise data solutions
Search & Comparison IntentFocus on AWS Redshift-specific skillsBroader data warehouse skills including multiple platforms

Remote Aws Redshift specialists focus on managing and optimizing AWS Redshift data warehouses, often requiring AWS certifications and SQL expertise. Remote Data Warehouse Engineers have a broader scope, working with various data warehouse platforms and integrating data solutions across different environments. While both roles involve data management and analytics, Redshift roles are more cloud-specific, whereas Data Warehouse Engineers may work across multiple cloud or on-premises systems.

What are the most commonly searched types of Aws Redshift jobs in Maryland?

The most popular types of Aws Redshift jobs in Maryland are:

What are popular job titles related to Remote Aws Redshift jobs in Maryland?

For Remote Aws Redshift jobs in Maryland, the most frequently searched job titles are:

What cities in Maryland are hiring for Remote Aws Redshift jobs?

Cities in Maryland with the most Remote Aws Redshift job openings:

Data Scientist 3

Choice Hotels International

North Bethesda, MD • On-site, Remote

$114K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Lead modeling initiatives that drive enterprise decisions using statistical models and AI.

  • Deliver ad hoc analyses and product presentations to communicate insights to stakeholders.

  • Work with IT and Data Delivery teams to enhance infrastructure supporting real-time, machine learning, and generative AI modeling capabilities.


Job description

JOB SUMMARY:

Choice Hotels, one of the world's largest lodging franchisors, has an opportunity for a Data Scientist 3, Applied AI, on the Data Science team. You will play an integral role in developing predictive analytics and applied AI capabilities in support of key corporate initiatives. Our cross-functional team of data scientists and engineers develops and deploys statistical models, machine learning algorithms, and AI solutions that drive business decisions and interactions with our customers.

The team partners with leaders across the enterprise to deliver end-to-end data science solutions for Marketing, Loyalty, Global Sales, Finance, Franchise Development, eCommerce, and Brands. Examples include customer lifetime value, hotel performance forecasting, site selection, and generative AI applications. In addition to building models, the Data Scientist will contribute to upskilling the team, provide guidance on data sources for ingestion to improve modeling effectiveness, and collaborate with the Data Delivery and IT teams to ensure Choice's AWS analytics platform can meet future state needs for machine learning, generative AI, and predictive analytics.

RESPONSIBILITIES:

  • Lead modeling initiatives that drive enterprise decisions, working with stakeholders to solve strategic and operational needs with statistical models and AI.

  • Deliver timely ad hoc analyses and product presentations, including geospatial analyses, that communicate insights to stakeholders.

  • Work with IT and the Data Delivery teams to enhance infrastructure needed to support real-time, machine learning, and generative AI modeling capabilities

  • Deploy solutions using AWS services such as Redshift, Athena, S3, SageMaker AI, Bedrock, and AgentCore.

  • Research cutting-edge methodologies and contribute to upskilling the overall team's capabilities, including the use of AI-assisted development tools such as Claude Code, which are core to how the team prototypes, codes, and performs analysis day to day.

QUALIFICATIONS:

Employment Experience

  • 5+ years of analytical experience, with a background in predictive modeling and statistical techniques such as regression, segmentation and clustering, and time series analysis

  • Hands-on experience building with large language models (LLMs)

Technical Skills

  • Experience with Machine Learning approaches and techniques such as decision trees, gradient boosted models, and neural networks, including standard data preparation and model evaluation practices

  • Familiarity with LLMs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflows

  • Comfort with (or strong enthusiasm to adopt) AI-assisted development tools such as Claude Code; agentic coding workflows are a major part of our day-to-day work

  • Working knowledge of Python/R and SQL, along with Git version control and code review practices

  • Familiarity with the ML and AI model development lifecycle from prototyping through deployment and monitoring in production

  • Comfortable with lightweight data engineering, data quality monitoring, data profiling, and preparing datasets

  • Knowledge of AWS services such as Redshift, Athena, S3, Lambda, SageMaker AI, Bedrock, and AgentCore; AWS certification is a plus

  • Experience with geospatial analytics and tools (e.g., ArcGIS, GeoPandas, PostGIS) is a plus

  • Proficiency in Microsoft Outlook, Excel, PowerPoint and Word

Additional Skills & Competencies

  • Must be an energized self-starter who can work independently and who drives for results

  • Ability to evaluate business trends and develop successful solutions that enhance business performance

  • Effectively partner with business stakeholders to ensure integrated and timely insights to the enterprise

  • Has strong intellectual curiosity and is an active learner, able to enhance personal, professional, and business growth through new knowledge and experiences.

  • Results oriented; delivers results under difficult conditions and demonstrates balanced judgment under pressure

  • Writes clean, clear, and well-documented code that others can read, maintain, and build on

  • Good communication skills, including oral (one on one and presentations to large audiences) and written

Education Requirements

  • Master's Degree in Data Science, Economics, Mathematics, Statistics, Operations Research or other quantitative field

COMPENSATION & SALARY RANGE:

The salary range for this position is $114,907-135,000. Pay ranges listed are what Choice Hotels reasonably expects to pay. Actual pay may be higher or lower and ranges may be adjusted in the future. Pay positioning within the range is influenced by factors including-but not limited to-education, experience, skills, certifications, performance, geographic location, business needs, seniority, and travel requirements.

LOCATION & WORK SCHEDULE:

This role is based at our corporate headquarters in North Bethesda, Maryland, and follows a hybrid work schedule, requiring regular in-office collaboration alongside remote work flexibility.

Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:

  • Competitive compensation and benefits, including medical, dental, and vision coverage
  • Leave and paid time-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
  • Financial benefits for retirement and health savings
  • Employee recognition programs
  • Discounts at Choice hotels worldwide

About Choice

Choice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We're the hotel company for those who choose to bet on themselves - the striver, the dreamer, the entrepreneur - because that's who we are, too.

At Choice, we are united by the simple belief that tomorrow will be even better than today - for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward - giving our work at Choice a purpose larger than our business.

Our corporate office locations:

North Bethesda, MD - Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I-495, complimentary parking, electronic charging stations, restaurants and retail.

Scottsdale, AZ - Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.

Minneapolis, MN - Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.

Field/Remote - Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.

Choice's Cultural Values

Welcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity

Choice's Leadership Principles

Act with Intention | Lead with Authenticity | Grow & Deliver