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Remote Data Transformation Jobs in Arkansas (NOW HIRING)

Sr. Data Engineer

Bentonville, AR · Remote

$120K - $150K/yr

As a remote-first company, most of our positions can be remote in the US, except for key roles ... In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and ...

TOLA (Remote) About Unframe Unframe is an AI-first startup helping the world's largest enterprises ... Background in AI/ML platforms, digital transformation, enterprise data platforms, or management ...

... remote opportunity. PERKS OF THE ROLE: * Company-paid expenses: Use a company card for all ... A technical understanding of voice, data, and fiber optic systems is required * Must be able to ...

Remote Data Transformation information

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is the difference between Remote Data Transformation vs Remote Data Analyst?

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

What are the key skills and qualifications needed to thrive as a remote data transformation specialist?

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What is a remote data transformation?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.
What are the most commonly searched types of Data Transformation jobs in Arkansas? The most popular types of Data Transformation jobs in Arkansas are:
What are popular job titles related to Remote Data Transformation jobs in Arkansas? For Remote Data Transformation jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation jobs in Arkansas look for? The top searched job categories for Remote Data Transformation jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Data Transformation jobs? Cities in Arkansas with the most Remote Data Transformation job openings:

Sr. Data Engineer

Alkami Technology

Bentonville, AR • Remote

$120K - $150K/yr

Full-time

Retirement, PTO

Re-posted 14 days ago


Job description

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.


Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others). We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds. If you’re ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.


As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.


Follow us on Glassdoor and LinkedIn!

The Senior Data Engineer will build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS solution. Position requires a demonstrated ability to design processes from end to end and a strong technical understanding of modern data pipelines and strategies. In depth knowledge of multiple data sources, data design patterns, ETL transformation, SQL and performance tuning are required.

Essential Duties & Responsibilities:


● Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
● Lead code and design reviews with junior and peer developers
● Write clean code to develop data pipelines and necessary infrastructure as code
● Collaborate with cross functional teams to understand requirements and effectively design appropriate solutions
● Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
● Participate in the evaluation of new technologies and tools that can improve performance of our system
● Participate in data governance process
● Contribute to the design and documentation of our data lake platform
● Proficient in test automation solutions for data and ability to optimize performance
● Gather technical and design requirements
● Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects.
● Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement
● Participate in an on call rotation

Recommended Experience & Education
Minimum Years of Experience

Typically requires a minimum of 5 years of related experience; or 3 years and an
advanced degree

Education Level Bachelor’s degree in engineering, computer science, math, data engineering or another related field or equivalent work experience

Knowledge, Skills, & Qualifications
Required


● Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas
● Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
● In-depth knowledge of the entire data engineering process (design, development, deployment)
● Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
● Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code
● Proficient in SQL (SQL Server, Postgres) and Python
● Identify opportunities for process improvement as well as efficiency in solutions
● Teamwork skills with a problem-solving attitude and willing to take a variety of approaches
● Strong experience with legacy data warehouse and ETL pipelines
● Demonstrated ability to mentor junior team members
● Excellent analytical and time management skills, with a proven ability to deliver value independently
● Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders

Preferred


● Experience with multi-tenant, B2B2C SaaS offerings
● FinTech industry experience is preferred but not required

● AWS Cloud Formation/Terraform
● Understanding of MPP Data Warehouse (Redshift, Greenplum)

Physical Demands
● Ability to lift a minimum of 5 pounds to a maximum of 10 pounds unassisted
● Ability to stand, sit, stoop, walk, stretch, reach, and use full range of body motions
● Manual dexterity as required for specific equipment

The salary range for this position is: $120,000 - $150,000 Cool Things to Know

Not Just Any Company: Alkami has an awesome diverse and inclusive environment. We have a FUN culture and offer great benefits, including remote-first environment, unlimited paid time off, 401(k) with employer match, and more.

Work Authorization: We cannot offer employment sponsorship at this time. Candidates must be eligible to work in the US for full-time employment.

Recruiters: We are not looking for outside recruiting firms to help us in this search. Thank you for understanding.

Pay Transparency: As of January 1, 2023, new states and locales have enacted pay equity laws that require more pay transparency by employers in the following states: California, Colorado (effective January 1, 2021), Connecticut, Maryland, Nevada, New Jersey, New York, Ohio, Rhode Island and Washington.

The Important Stuff

Alkami Technology is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Alkami is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Alkami are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Alkami will not tolerate discrimination or harassment based on any of these characteristics. Alkami encourages applicants of all ages.

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